The AQFC has been an annual international conference since 2013. The aim of the conference is to feature the latest developments in the field of quantitative finance and promote its research in Asia. It also hopes to bring together researchers as well as practitioners on quantitative finance in Asia and elsewhere and provide a platform for interaction and cooperation. There will be plenary talks as well as contributed talks.
The DMV-Fachgruppe Stochastik organizes jointly with the Ruhr-Universität Bochum the 12th German Probability and Statistics Days 2016 – Bochumer Stochastik-Tage.
In the tradition of the previous conferences, this meeting provides an international forum for presentation and discussion of new results in the area of probability and statistics.
Contributed talks will be given in 12 sections devoted to specific topics; the highlight of each section will be one invited main talk.
Methods of Inference
Workshop Objectives and Topics
The objective of this workshop is to study new methods of statistical inference based on information-theoretic methods.
Info-metric and Information-Theoretic ideas are being applied in variety of disciplines, such as biology, ecology, economics, finance and physics (for examples see Fall 2014 conference celebrating the fifth anniversary of the Institute).
The Spring 2016 workshop focuses on the use of info-metric and information-theoretic ideas in the development and
This workshop focuses on numerical methods and mathematical analysis for nonspatial stochastic dynamical models that arise in molecular biology. New
experimental techniques at a molecular level boosted the interest for such models in recent years, for example for gene regulatory networks, biochemical signaling and transduction cascades, molecular motors, and morphogenesis.
Uncertainty quantification is critical to achieving validated predictive computations in a wide range of scientific and engineering applications. The field relies on a broad range of mathematics and statistics foundations, with associated algorithmic and computational development. This conference will bring together mathematicians, statisticians, scientists, and engineers with an interest in development and implementation of uncertainty quantification methods.
Main Speakers: Rick Kenyon (Brown), Joel Lebowitz (Rutgers), Allan Sly (Berkeley), Peter Winkler (Dartmouth); Junior Speakers: Guillaume Barraquand (Columbia), Hao Shen (Columbia). Registration is free on the probability day website.
Participants will be introduced to the discrete graph theory methods and models of structured population as well as classical continuous models based on differential equations. They will learn how to use such methods and/or build and analyze models in the context of the tutorial's topics and will work in small groups to experience how to use the methodology to describe, simulate, and analyze the relevant biological systems. Participants will be exposed to software that implements the mathematical methods, aids visualization, and facilitates computations and analyses. Participants will learn how the tutorial materials may fit into mathematics and biology courses or be used as an introduction to independent studies or undergraduate research.
The workshop presents recent results in areas related to heavy tails, extremes and dependence, including topics on a) weak convergence for heavy tailed dependent processes and time series; b) stationary and stable processes; c) stable random fields; d) regular variation and heavy tails; e) complex stochastic systems: random matrices and random networks with heavy tails. The workshop will feature 4 expository lectures by Gennady Samorodnitsky and Clément Dombry on related background for graduate students and people interested in these areas, and include around 20 talks on recent research advances by well-established or young researchers. There are also a few open problem sessions and a poster session. Funding opportunities are available, with priority given to graduate students and junior researchers.
This is the third in a series of meetings organized at UT Austin on related topics, alternating yearly in an emphasis on mathematics one year, and on network applications the next. The 2016 workshop will again be on the mathematics of stochastic processes and graphs, this time focusing on the studies of processes in, and on, large graphs. Our aim is to bring together a diverse set of eminent researchers from various communities in this broad subject, to give a global picture which will hopefully lead to interactions and cross-fertilization.
Main invited speakers: Antoine Ayache, Martin Grothaus, Jun Kigami, Virginia Kiryakova, Anatoly Kochubei, Vassili Kolokoltsov, Yurii Kondratiev, Takashi Kumagai, Nikolai Leonenko, Jacques Lévy Véhel, Yuri Luchko, Francesco Mainardi, Enzo Orsingher, Mark Podolskij, Igor Podlubny, Maria Dolorez Ruiz-Medina, Gennady Samorodnitsky, Murad Taqqu, Tommi Sottinen. For more information, particularities and registration, see the website.
Organizers: Yuliya Mishura, Grygoriy Torbin , Georgiy Shevchenko, Peter Spreij, Martina Zähle.
As part of the conference, IC-SMHD-2016 will feature a Festschrift honoring Prof. Dr. Hamparsum (Ham) Bozdogan, Toby McKenzie Professor at the University of Tennessee, for his outstanding contributions not just to the domain of information complexity and model selection enterprise in high-dimensions, but also to his international outreach contributions in disseminating statistical knowledge to the young future scholars from many different countries, including Turkey.
SRC has a history of more than two decades, and continues to explore many important topics, including statistical methodologies and theories on design and analysis of experiments, uncertainty quantification, computer experiments and statistical computing, applications of data science in business, industry and government policy making, methods on quality improvement and measurement system, etc. This year’s keynote speakers are Jeff Wu from Georgia Tech, Henry Wynn from London School of Economics, and Dennis Lin from Penn State.
International Workshop on Mathematics and Statistics is a peer reviewed academic event held annually. IWMST-2016 is organized by Scientific Cooperations and aims to increase the collaboration among researchers and practitioners with a common interest in Mathematics and Statistics through scientific publications. The workshop is a part of International Conference of Basic Sciences which consists of three separate workshops of different disciplines.
The conference will feature Professor Sayan Mukherjee from Duke University as the principal lecturer, and five additional featured speakers including Professors Rabi Bhattacharya, Susan Holmes, Ann Lee, Lek-Heng Lim and Yusu Wang. This conference will introduce graduate students and junior researchers to TDA, an active new field, which lies at the exciting intersection of topology, geometry, and statistics and serve as an opportunity to foster research collaborations.
UT-Austin is hosting a five-day conference on Topological Data Analysis (TDA): Topology, Geometry and Statistics. The conference will feature Professor Sayan Mukherjee from Duke University as the principal lecturer, who will deliver a series of tutorial lectures on TDA. Five additional featured speakers including Professors Rabi Bhattacharya, Susan Holmes, Ann Lee, Lek-Heng Lim and Yusu Wang, will give additional talks on topics such as TDA in Machine learning, Statistics and Geometry, application of TDA in biomedical fields.
The workshop, which is jointly organized by Humboldt University Berlin and Technical University Berlin, provides a forum for PhD students, postdoctoral researchers, and young faculty members from all over the world to discuss their research in an informal atmosphere.
This interdisciplinary workshop will bring together scientists from integral geometry, geometric probability, geometric measure theory, stochastic geometry, stereology, applied probability, spatial statistics and bioimaging. An important scope of the workshop is to discuss recent theoretical advances in stochastic geometry and their potential for applications.
The workshop will celebrate the scientific achievements of AU professor Eva B. Vedel Jensen.
After five groundbreaking conferences at Penn State, Statistical Challenges in Modern Astronomy VI will be held at Carnegie Mellon University, June 6 to 10, 2016. This meeting will continue the interdisciplinary tradition of its predecessors, bringing together researchers in astronomy, cosmology, statistics, and machine learning to facilitate progress on the significant data analysis challenges that result from current and future astronomical sky surveys. Abstracts will be accepted for contributed talks and for posters.
The conference will honor Eugenio Regazzini on the occasion of his 70th birthday. It will take place at the University of Pavia, Italy, on June 10-11, 2016. The program will feature invited talks of authoritative speakers who have been working on topics related to the ones Eugenio has contributed to in Statistics, Probability and Mathematical Physics.
IMS Representative(s) on Program Committees: Antonio Lijoi and Pietro Rigo
The 3rd ISNPS conference will put together recent advances and trends in several areas of nonparametric statistics. This conference will be a perfect place to facilitate the exchange of research ideas, promote collaboration between researchers from all over the world and contribute to the further development of the field.
The conference on Algebraic Statistics is one of 4 MRCs for early-career mathematicians run by the American Mathematical Society. Funded by NSF, MRCs foster the formation of self-sustaining cohorts of mathematical scientists centered on research areas of common interest. The program provides participants travel, room, and board at the conference site and supports subsequent travel to the Joint Mathematics Meetings and a limited number of follow-up collaboration gatherings. Applications are accepted from November 1, 2015 to March 1, 2016.
Seminars on Stability Problems for Stochastic Models have a long tradition. They were started by Prof. Vladimir Zolotarev in the 1970’s. The seminars are attended by leading probabilists from all over the world. The Seminars traditionally aim at bringing together people from Eastern and Western parts of Europe to share their expertise, new results, exchange the ideas and discuss open problems. In this century Seminars took place in Hungary, Bulgaria, Spain, Latvia, Italy, Israel, Romania, Poland, Norway and Russia.
You are cordially invited to 2016 ICSA Applied Statistics Symposium in Atlanta! The city of Atlanta enjoys a mild climate throughout the year, and is accessible from most cities across the North America. Keynote Speakers for the 2016 Applied Statistics Symposium will be Bin Yu, University of California, Berkeley and David Madigan, University of Columbia Banquet Speaker will be Michael Eriksen, Georgia State University. Details are forthcoming on the symposium website. Details of the scientific programs are on the symposium website.
IMS Representative(s) on Program Committees: Yichuan Zhao
The event covers diverse areas of quantitative finance and actuarial science. Also, the Congress would provide space to debate on topics related to these areas. Topics of interest are teaching, research, technical regulation and business practice in Andean and Caribbean regions, and its inter-relation with the rest of the world.
The International Symposium on Forecasting (ISF) is the premier forecasting conference, attracting the world’s leading forecasting researchers, practitioners, and students. Through a combination of keynote speaker presentations, academic sessions, workshops, and social programs, the ISF provides many excellent opportunities for networking, learning, and fun.
This conference is held in memory of Evarist Giné (1944-2015), who was an influential, brilliant and prolific contributor to modern probability theory and mathematical statistics, with a focus on problems arising in infinite-dimensional settings. His work has had a profound impact on modern probability theory, mathematical statistics and recently also machine learning.
The workshop will highlight recent activities in the areas Evarist worked in, as well as memorial sessions to celebrate his mathematical achievements.
This four-day series of academic workshops addresses algorithmic and statistical challenges in modern large-scale data analysis. The goals of this series of workshops are to explore novel techniques for modeling and analyzing massive, high-dimensional, and non-linearly structured scientific and internet data sets and to bring together computer scientists, statisticians, mathematicians, and data analysis practitioners to promote the cross-fertilization of ideas.
Contributed poster presentations are highly welcome and can be submitted before May 1st.
Registration is open until May 15th, but please note that the number of particpants is limited and registration is on a first come first serve basis.
More information including a list of speakers can be found on the workshop webpage.
The international workshop on Mathematical Reliability and Safety (MRS 2016) aims to bring active experts in various fields including reliability theory, risk management, statistics, and safety to exchange the newest developments, and promote advances in reliability and safety. The topics of interest include but are not limited to: Reliability theory; Stochastic orders; Risk and security; Extreme value theory; Order statistics; Dependence modeling.
The summer school has two themes with the following speakers:
1. Informational and Imperfect Financial Markets (June 25 to June 29):
Marek Rutkowski (University of Sydney), Agnès Sulem (INRIA Paris-Rocquencourt), and Thaleia Zariphopoulou (University of Texas at Austin)
2. Market Microstructure and Algorithmic Trading (July 2 to July 6):
Robert Almgren (Quantitative Brokers), Alvaro Cartea (University of Oxford), and Sebastian Jaimungal (University of Toronto)
The Institute of Mathematical Statistics Asia Pacific Rim Meeting series promotes interaction and networking among statisticians and probabilitists from Asia, the Pacific Rim, and other parts of the world. The previous three meetings were successfully held in Seoul, Tsukuba, and Taipei. We are pleased to announce that the fourth meeting will take place on the beautiful campus of The Chinese University of Hong Kong, during the period of June 27–30, 2016. The program covers recent developments and the state-of-the-art in a variety of modern research topics in statistics and probability. For more information, you may contact the program chairs: Ming-Yen Cheng (firstname.lastname@example.org) and Xuming He (email@example.com).
The Barcelona Summer School on Stochastic Analysis is a one-week scientific activity consisting mainly of courses addressed to PhD students and young researchers on current research topics in Stochastic Analysis. Selected participants are also given the opportunity to deliver short talks or to display posters.
The bienniel NORDSTAT conference is organized under the auspices of the Nordic and Baltic statistical societies. This year the Danish Society for Theoretical Statistics is organizing the meeting at the North Campus of University of Copenhagen.
Abstract submission deadline: March 13. Early bird registration: April 11.
The primary purpose of the Sixth IMS-FIPS Workshop is to bring together a global cast of leading academic experts, practitioners and junior researchers to share research that underscores the contributions of probability and statistics to the development of quantititative models, methods, techniques and technologies in the fields of finance and insurance.
Abstract Submission Deadline: 1 April 2016
The three short courses will be given by:
*Eric Moulines on When Langevin Meets Markov .
*Yee Whye Tee on Scalable Methods for Bayesian Statistics and Machine Learning.
*George Michalidis on Modeling, computation, inference and applications of graphical models.
Our 2.5-day workshop will bring together a diverse group of faculty from the field of algebraic and discrete mathematical biology to address the need to develop educational resources by: 1) surveying existing educational resources in discrete and algebraic mathematical biology; 2) identifying topics appropriate for undergraduates not yet featured in the existing literature; 3) identifying target courses in the mathematics and biology curricula that would benefit most from featuring those topics; 4) initiating the development of new curricular materials and ultimately publishing the materials for those topics; 5) facilitating the growth of a community of faculty actively involved in creating and using curricular resources for algebraic mathematical biology.
The 3 day conference will run from August 8th to 10th and will have 9 invited sessions, contributed sessions and 3 plenary speakers: Regina Liu (Rutgers University, USA), Fabrizio Ruggeri (Institute of Applied Mathematics and Information Technologies, Italy), and Bo Henry Lindqvist (Norwegian University of Science and Technology, Norway). In addition there will be a student workshop in two parts given by Udo Kamps (RWTH Aachen, Germany) and Barry Arnold (University of California at Riverside, USA) on August 7th.
This multidisicplinary conference focuses on the following topics: Monte Carlo, quasi-Monte Carlo, Markov chain Monte Carlo; Digital nets and lattice rules; Discrepancy theory; Complexity and tractability of multivariate problems; Multi-level Monte Carlo; Sequential Monte Carlo and particle methods; Rare event simulation; Randomized quasi-Monte Carlo; Variance reduction methods; MC/QMC methods in physics, chemistry, finance, computer graphics and other areas.
The field of nonlinear statistics (NS) seeks to answer the fundamental questions that arise when defining new statistical models and tools in nonlinear spaces. The field spans from theoretical statistics and geometry to the development of data analysis tools that are directly applicable to actual data. A typical application area is bioimaging.
This conference continues a series of conferences on small area estimation that have been organized annually at different places around the world. It will give researchers and practitioners from all over the world an opportunity to exchange information or learn about state-of-the-art small area estimation techniques. So far small area estimation has predominantly been an academic area of research. The aim of this conference is to give more attention to applications and implementation in government agencies.
Statistical and Data Sciences: A key to healthy people, planet and prosperity.
The 2016 International Indian Statistical Association Conference will be held in Corvallis, Oregon August 18–21, 2016. It will bring together statisticians worldwide from academia, industry, government, and research institutes.
The Conference will be organized by Iranian Statistical Society,Scheduled every two years, the conference is a major Iranian event for statistics and probability, covering all their branches, including theoretical, methodological, applied and computational statistics and probability, and stochastic processes.
The conference will focus on three themes of time-to-event analyses, all of which concentrate on population-based data and translational epidemiology:
1. Recent methodological developments in competing risks and net survival
2. Hierarchical and correlated data in survival and longitudinal analysis
3. Causal inference in longitudinal settings with time-dependent confounding
The conference will include world-renowned invited speakers as well as oral and poster communications.
Now in its 24th year, the conference has a focus on current statistical issues and fosters the exchange of ideas and information. Plenary speakers in 2016 will include Christl Donnelly (Imperial College London), Anne Glover (former Chief Scientific Adviser, European Commission) and Xiao-Li Meng (Harvard University). This annual conference regularly attracts over 450 participants from all over the world, ranging from senior academic statisticians through to new graduates and postgraduate students. The host city is 2016 European City of Science.
Titles of sessions: Robust and Nonparametric Data Analysis; Multivariate Analysis; Statistical Analysis of Time Series and Spatial Data; Probabilistic and Statistical Analysis of Discrete Data; Asymptotic Methods in Stochastics; Econometric Modeling and Financial Mathematics; Survey Analysis and Official Statistics; Data Mining. Proceedings will be published before the Conference; extended versions of the selected papers will be published in Special issues of some journals after the Conference.
The aim of the International Conference on Analysis and Applied Mathematics (ICAAM) is to bring mathematicians working in the area of analysis and applied mathematics together to share new trends of applications of mathematics. We plan to found the conference series to provide a forum for researches and scientists to communicate their recent developments and to present their original results in various fields of analysis and applied mathematics
The Flexible Statistical Modeling: past, present and future (FSM2016) workshop will take place the 15 and 16 September 2016 in the beautiful city of Ghent in Belgium. This workshop brings together international researchers in the field of flexible modeling to share their latest results. The purposes are to stimulate research in this field, identify interesting new problems and applications, and foster dialogue and future research collaborations. The program includes 3 plenary talks, 8 invited talks and 2 young researcher talks.
The Climate Informatics workshop series, now in its sixth year, seeks to bring together researchers from all of these areas. We aim to stimulate the discussion of new ideas, foster new collaborations, grow the climate informatics community, and thus accelerate discovery across disciplinary boundaries. Since earth system sciences can be brought to bear on the study of climate, the scope of the workshop also includes data science approaches to problems at the nexus of climate and the earth system sciences.
This international conference is being organized to provide a platform for researchers and practitioners to share and discuss recent advancements on statistical distributions and their applications, and to provide opportunities for collaborative work. The scopes of ICOSDA 2016 include, but not limited to statistical distributions and their applications; statistical modeling; high dimensional data analysis; and Bayesian statistics. The conference presenters are invited to submit their articles for consideration of publication in a special issue of the Journal of Statistical Distributions and Applications (http://www.JSDAjournal.com/). The submitted papers will go through the same rigorous peer review process as regular submissions. Accepted papers will receive at least 50% discount of Article Processing Charge (APC). A limited number of accepted articles may receive full APC waiver.
Our workshop will help unlock the conservation potential of genomics research, and ensure that genetic and non-genetic factors are considered in quantitative fashion when evaluating and managing wild and cultivated species. More broadly, we will lay a foundation for developing new theory and approaches for describing, quantifying, and interpreting the complex, multidimensional information contained in biodiversity datasets.
The program will be on our website by June 1st. The 3-day conference (with poster sessions) provides a learning experience on recent developments in statistical methodologies. It’s followed by 2 parallel 2-day short courses. The conference at the Tropicana Casino Resort consists of 12 3-hour tutorials on current applied biostatistical topics based on recently published books that are sold at a ~40% discount. Attendees receive bound presentation proceedings. Walter Young has chaired this conference for 47 consecutive years.
The major focus of the conference will be Big Data: Mining, Analysing and Teaching. It aims to bring together the statistical approaches to data analysis with the techniques of data mining and their use in teaching statistics. Application to Big Data will be of particular interest.
The 23rd Australian Statistical Conference which is to be held in conjunction with the 14th Australasian Data Mining Conference (AusDM) and the 9th Australian Conference on Teaching Statistics (OZCOTS) will provide unique insight into statistics, data mining and statistics teaching. The major focus of the conference will be Big Data: Mining, Analysing and Teaching. It aims to bring together the statistical approaches to data analysis with the techniques of data mining and their use in teaching statistics. Application to Big Data will be of particular interest.
Experimentation is one of the most common activities in scientific researches and industrial processes. An experiment is cost-efficient only when it is carefully designed and its results are correctly analyzed. The CEDA 2016 will highlight the most recent advances in the design and analysis of experiments and demonstrate their applicability to practitioners in scientific and industrial communities. In addition, it provides an excellent platform to share research ideas among senior mentors, junior researchers and Ph.D. students/graduates.
The second international conference and workshop on Statistical Methods in Finance aims to expose the participants to new and active areas of research and to engage researchers into working groups. The conference is jointly organized by Indian Statistical Institute and Chennai Mathematical Institute with support from International Society for Business and Industrial Statistics.
The three-day Conference being organized by Department of Statistics, Calcutta University to celebrate its Platinum Jubilee in 2016, will offer a common platform to statisticians engaged in applied research, to interact and exchange ideas. The main focus will lie on:
(i) Design of Experiments in Agriculture and Industry
(ii) Survey sampling and official statistics
(iv) Applications of Statistics in Soocial Sciences
(v) Applications of Statistics in Industry
(vi) Applications of Statistics in Physical Sciences