IMS Meetings for 2018 May
May 1, 2018 - May 3, 2018
New York, New York, USA
Not Sponsored
This three day workshop will feature lectures by Scott Armstrong (New York University), Guillame Bal (Chicago University), Liliana Borcea (University of Michigan), Maury Bramson (University of Minnesota), Josselin Garnier (École Polytechnique), Svetlana Jitomirskaya (University of California, Irvine), Jianfeng Lu (Duke University), Jonathan Mattingly (Duke University), James Nolen (Duke University), George…

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May 4, 2018 - May 6, 2018
Atlanta, Georgia, USA
Co Sponsored
The keynote speaker is Dr. Hongyu Zhao, the Ira V. Hiscock Professor of Biostatistics and Professor of Statistics and Genetics at Yale University and the recipient of the Mortimer Spiegelman Award. There will be invited talks by distinguished researchers, and a poster session by young researchers and graduate students. IMS…

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May 6, 2018 - May 9, 2018
Ann Arbor, Michigan, USA
Not Sponsored
The BFF5 will focus on the theme of “Foundations of Data Science”. Invited talks will re-examine the role and report new advances on the foundations of statistical inference in this new era of data science.…

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May 7, 2018 - May 8, 2018
Ames, Iowa, USA
Not Sponsored
The conference is intended to raise awareness about the importance of predictive inference and its applications, showcase research of current and emerging leaders in the field, and encourage interactions among scientists with complementary skills. Activities include talks by Ronald Christensen, David Dunson, Edward George, and Martin Wainwright and a session…

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May 9, 2018 - May 9, 2018
Ames, Iowa, USA
Not Sponsored
This one-day meeting of statisticians, engineers, computer scientists, mathematicians, and practitioners interested in the theory and applications of Statistical Machine Learning is being organized by the ISU Departments of Statistics and Industrial & Manufacturing Systems Engineering. Its purpose is to bring together a diverse set of researchers and practitioners to…

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May 9, 2018 - May 12, 2018
Providence, Rhode Island, USA
Co Sponsored
Seminar on Stochastic Processes is a series of annual conferences devoted to stochastic analysis, Markov processes and other topics in probability theory of current interest. Every conference features five invited speakers and provides opportunity for short informal presentations of recent results and open problems.…

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May 10, 2018 - May 11, 2018
Raleigh, North Carolina, USA
Not Sponsored
This two day symposium sponsored by the American Statistical Association’s Section on Risk Analysis will bring together the top minds within statistics and risk analysis communities to discuss analytic strategies in the age of big data. Participants will be challenged by leaders on diverse topics such as toxico/environmental-, economic-, terrorism/defense-,…

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May 14, 2018 - May 15, 2018
Durham, North Carolina, USA
Co Sponsored
Speakers: Megan Bernstein (Georgia Tech); Wei-Kuo Chen (Minnesota); Laura Eslava (Georgia Tech); Hanbaek Lyu (Ohio State); Sumit Mukherjee (Columbia); Elliot Paquette (Ohio State); Leo Petrov (Virginia). IMS Representative(s) on Program Committees: R. Durrett.…

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May 16, 2018 - May 18, 2018
Knoxville, Tennessee, USA
Not Sponsored
The objectives of this tutorial are to teach participants the concepts of ecological niche modeling, introduce them to select analytical techniques (formatting data in GIS; running Maximum Entropy (MaxEnt) models), and present how to interpret and apply spatial analyses. Participants will further be familiarized with several commonly-used and/or newly-available online…

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May 17, 2018 - May 20, 2018
Gainesville, Florida, USA
Not Sponsored
The IISA annual conference for 2018 will take place at the HPNP Complex of the University of Florida, Gainesville, Florida. The format of the conference includes plenary talks, special invited talks, invited sessions and contributed posters. The Scientific Program Committee (SPC) will strive to maintain a healthy presence of women…

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May 29, 2018 - May 30, 2018
Munich, Bavaria, Germany
Not Sponsored
The aim of the conference is to bring together economists, econometricians, statisticians and social scientists using big data methods for their applied and/or theoretical research. We welcome submissions related to all aspects of machine learning, including sparse modeling, Lasso, random forests, boosting, neural networks and deep learning, and applications in…

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