Focus Series

Focus Series by Year

2023-2024

Robust Statistics and Privacy Workshop

Thursday, October 5th – Friday, October 6th, 2023

Detailed information is given on the event page below.

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Psychometrics Workshop

Friday, September 22 – Saturday, September 23, 2023

Detailed time, location and registration information are given on the event page below.

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2022-2023

Extremes and Time Series: A Workshop on the Occasion of Richard Davis’ 70th Birthday

Friday, January 20, 2023 and Saturday, January 21, 2023

Detailed information is given on the event page below.

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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
Friday, August 12, 2022

Detailed time, location and registration information are given on the event page below.

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2021-2022

Pfizer/ASA/Columbia University Symposium on AI in Clinical Drug Development

Monday, June 6, 2022

Detailed time, location and registration information are given on the event page below.

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2019-2020

MAFIA – Mathematical Finance and Analysis “Symposium in Honor of Philip E. Protter”
Friday, September 20 and Saturday, September 21, 2019

https://stat.columbia.edu/mafia

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.

 

2018-2019

“Symposium in Honor of Mark Brown”

Friday, March 1, 2019

Columbia University will be holding a symposium to honor Mark Brown. The symposium takes place at Columbia University on March 1st, 2019. With deep affection and appreciation we honor our colleague Mark Brown on the occasion of his 75th birthday. Mark’s dedication, warmth and humor have made him a beloved colleague and teacher at Columbia University.

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The international workshop on “Statistical Challenges in High-dimensional and Complex Data”
Friday, September 14 and Saturday, September 15, 2018

The international workshop on “Statistical Challenges in High-dimensional and Complex Data” will be held at Columbia University on Sep 14 and Sep 15, 2018. The workshop will cover a wide range of topics including high-dimensional regression, topic modeling, social network, deep neural networks, etc. The workshop address is https://sites.google.com/view/2018-columbia-hdcd-workshop/. Please register by Aug 31 through the registration link on the website if interested.

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2017-2018

Conference on Statistical Methods for Innovative Testing and Learning
Saturday, July 7 and Sunday July 8, 2018

This conference focuses on advanced statistical methods for solving data analytic problems from recent innovations in testing and learning. By bringing together experts in psychometrics, the conference will discuss topics, including but not limited to,

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2016-2017

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.

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2015-2016

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

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2014-2015

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 we organized during winter.

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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.

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2013-2014

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.

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Conference on Measures of Extremal Dependance

Columbia University’s Department of Statistics is organizing a 1-day Conference on Measures of Extremal Dependence.

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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.

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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.

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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.

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2010-2011

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.

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2009-2010

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.

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