Focus Series

Focus Series by Year

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.

Click here for further information.

Fourth Conference on the Statistical Methods in Psychometrics

August 30 – September 1, 2016 – 1255 Amsterdam Ave, Room 903, New York, NY 10027

Click here for further information.

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

Click here for further information.

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.

Click here for further information.

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

Click here for further information.

Workshop on Networks, Random Graphs and Statistics

Click here for further information.

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.

Click here for further information.

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.

Click here for further information.

 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. 

Click here for further information.

 

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.

Click here for further information.

Conference on Measures of Extremal Dependance

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

Click here for further information.

Conference on Graphical Models

Click here for further information.

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

Click here for further information.

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.

Click here for further information.

 

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.

Click here for further information.

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.

Click here for further information.

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.

Click here for further information.

 

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.

Click here for further information.

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.

Click here for further information.

 

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.

Click here for further information.

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.

Click here for further information.