Columbia HomeFocus Series by Year
2023-2024 |
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Probability Theory, Sequential Analysis and Adaptive Methods Conference in Memory Of Professors Y-S Chow and TL Lai Friday, May 3, 2024 through Saturday, May 4, 2024 Detailed information is given on the event page below. |
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Robust Statistics and Privacy Workshop Thursday, October 5th – Friday, October 6th, 2023 Detailed information is given on the event page below. |
Psychometrics WorkshopFriday, September 22 – Saturday, September 23, 2023 Detailed time, location and registration information are given on the event page below. |
2022-2023 |
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Extremes and Time Series: A Workshop on the Occasion of Richard Davis’ 70th Birthday Friday, January 20, 2023 and Saturday, January 21, 2023
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Statistical Foundations and Applications of Machine Learning and AI “Symposium to honor Professor Shaw-Hwa Lo‘s 70th birthday and his collaboration with Professor Herman Chernoff“
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2021-2022 |
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Pfizer/ASA/Columbia University Symposium on AI in Clinical Drug Development Monday, June 6, 2022
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2019-2020 |
MAFIA – Mathematical Finance and Analysis “Symposium in Honor of Philip E. Protter”
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Conference on “Inference on Graphical Models”Octobers 11-12 (Friday, Saturday), in SSW and Faculty House respectively.Detailed time and location information are given on the website.
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2018-2019 |
“Symposium in Honor of Mark Brown”
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The international workshop on “Statistical Challenges in High-dimensional and Complex Data”Friday, September 14 and Saturday, September 15, 2018
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2017-2018 |
Conference on Statistical Methods for Innovative Testing and LearningSaturday, July 7 and Sunday July 8, 2018
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2016-2017 |
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Causal Inference Conference – Saturday, May 6, 2017 Saturday, May 6, 2017 This is the second of the three causal inference conferences sponsored by the Columbia University Statistics Department this year. |
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Fourth Conference on the Statistical Methods in Psychometrics August 30 – September 1, 2016 – 1255 Amsterdam Ave, Room 903, New York, NY 10027 |
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NBER/NSF Time Series Conference 2016 NBER-NSF Time Series Conference (September 16-17, 2016) Columbia University, Kellogg Center, 1501, International Affairs Building, 420 W. 118 St. New York, 10027 |
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Causal Inference Conference: November 10-12 Our first conference on causal inference will focus on ways to estimate a number of different types of treatment effects both when standard assumptions such as ignorability and SUTVA hold, as well as cases where these assumptions fail. |
2015-2016 |
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Second Conference on Risk and Dependence: Theory and Applications Dates: June 7 – 10, 2016, Organizing Committee: José Blanchet, Mark Brown, Lorán Chollete, and Victor de la Peña, Location: Columbia University, Statistics Department |
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Workshop on Networks, Random Graphs and Statistics |
2014-2015 |
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Workshop on Systemic Risk The goal of this workshop is to bring together economists, mathematicians, statisticians, and industry experts, in order to discuss recent advances in systemic risk. The objective is to expose the audience to interesting aspects behind systemic risk, including its quantification and optimal mitigation strategies. |
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Workshop on Risk, Insurance, and Robustness The theme of this workshop is Risk, Insurance, and Robustness. Applications to climate are given special emphasis. The workshop is a follow up of the Climate, Risk and Statistics workshop |
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Stochastic Portfolio Theory and Related Topics Stochastic portfolio theory is now firmly placed as one of the most exciting areas in modern mathematical economics and finance. Models and ideas from the field have branched out in several directions in mathematical finance and beyond, such as particle systems, queueing theory, stochastic analysis, and optimal transport, to name a few. The objective of this conference is to display a coherent vision of achievements and challenges in these various directions to researchers who are either working in portfolio theory and related areas or are curious about the developments. |
2013-2014 |
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Focus Year on “Measures of Dependence” The Department of Statistics is hosting a year-long focus series (May 2013-May 2014) on “Measures of Dependence” (http://dependence2013.wikischolars.columbia.edu/) . This series will be highlighted with 4 workshops on cutting edge research in addition to short courses. |
| Conference on Measures of Extremal Dependance Columbia University’s Department of Statistics is organizing a 1-day Conference on Measures of Extremal Dependence. |
| Conference on Graphical Models |
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Conference on Copulas and Dependence: Theory and Applications Columbia University’s Department of Statistics is organizing a 2-day Conference on Copulas and Dependence Measures. This conference will involve cutting edge research in theoretical developments and applications. The conference is motivated by outstanding challenges in research on dependence, concerning limit theorems for dependence estimation, specification challenges, and high-dimensional data implementation. The conference will also address practical problems of portfolio modeling for banks and regulators. The conference will feature applications in genetics, hydrology and finance |
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Nonparametric Measures of Dependence Columbia University’s Department of Statistics is organizing a 3-day workshop and a 1-day conference on Nonparametric Measure of Dependence. This conference is open to the public. |
2011- 2012 |
| Workshop on Computational Methods in Applied Sciences Scientific computation has been an important topic in many disciplines. This workshop focuses on the recent advances in efficient computational methods and their applications to applied sciences. Specifically, the topics of the workshop include analyses of Markov chain Monte Carlo, sequential Monte Carlo, particle methods, asymptotic theory and approximations. A list of applications includes astronomy, biology, chemistry, engineering, finance, and social sciences. |
| Workshop on Probability and Statistics in Finance This is the inaugural workshop, co-sponsored by IMS, for the recently formed special interest group within IMS on Finance: Probability and Statistics. The focus of the workshop is the use of probabilistic and statistical analysis and models for problems arising in finance. By bringing together both leading experts and junior researchers, the conference will highlight important contributions made through the use of statistics and probability, and identify emerging issues where statistics and probability promise to play an important role in the future. This workshop is held in conjunction with the two-day conference at Columbia (June 24-25) on Imaging, Communications and Finance in honor of Larry Shepp. |
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Imaging, Communications and Finance: Stochastic Modeling of Real-world Problems: Conference in honor of Lawrence A. Shepp To celebrate the 75th birthday of Dr. Lawrence Shepp we highlight the many contributions to stochastic modeling of real-world problems that he has made throughout his career. Statistics and probability have come to play an increasingly important role in a variety of interdisciplinary research areas including neuroscience, genetics, physics, finance and engineering. The goal of this conference is to focus on a number of important and emerging interdisciplinary areas of research, such as imaging, telecommunications and finance. Though the individual topic areas are diverse, a unifying theme for the conference is the use of probabilistic, combinatorial, and statistical analysis of models for problems arising in the real world. The conference will highlight important contributions already made through the use of statistics and probability, including the development of new reconstruction algorithms for medical imaging, stochastic models in risk analysis and finance, and methods for analyzing complicated network data. In addition, we will also work on identifying emerging issues where statistics and probability promise to play an important role in the future. |
2010-2011 |
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Applied Statistics in the Sciences During 2010-11 the Department of Statistics at Columbia University is offering a special focus series dealing with Applied Statistics in the Sciences. This special focus series will feature a seminar series, a visitor program, and one or more workshops focusing on rapidly growing connections between statistics and a broad array of sciences. |
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Brain “Decoding”: Classifying and Predicting Mental States from Brain Activity There is a growing interest in using fMRI data as a tool for classification of mental disorders, brain-based nosology and predicting the early onset of disease. In addition, there has been growing interest in developing methods for predicting stimuli directly from functional data; thus allowing for the possibility to infer information from the scans about the subjects thought process and use brain activation patterns to characterize subjective human experience. This workshop brings together a number of leaders in the field on discuss their research on the area. |
2009-2010 |
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Time Series Analysis in Neuroscience The goal of this workshop is to highlight the role that time series analysis plays in neuroscience research. Talks will deal specifically with time series problems that arise in fMRI, EEG and neuro-spiking research. The workshop will take place on April 14, between 12-5pm in Alfred Lerner Hall Room 555 on the Morningside Campus of Columbia University. |
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Statistical Methods in Neuroscience Statistics has become an integral part of neuroscience research. During 2009-10 the Department of Statistics at Columbia University is offering a special focus series dealing with Statistical Methods in Neuroscience. This special focus series hopes to highlight the contributions of statistics in neuroscience and help facilitate collaboration between researchers in the field. |
