Test Events

StochStatMIT: Alexandre Tsybakov
March 21, 2014
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11:00AM - 12:00PM EDT
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E62-587
In Person
Linear and Conic Programming Approaches to High-Dimensional Errors-in-variables Models

BUStatPrSem: Xinyun Chen
March 20, 2014
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4:00PM - 5:00PM EDT
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MCS 148
In Person
Perfect sampling and gradient simulation of Queueing Networks

BUStatPrSem: Lie Wang
March 18, 2014
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4:00PM - 5:00PM EDT
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MCS 148
In Person
Multivariate Regression with Calibration

Stat Colloq: Deepak Agarwal
March 17, 2014
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4:15PM - 5:15PM EDT
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Science Center Rm. 705
In Person
Computational Advertising at LinkedIn

IACS Sem: Raul Jimenez
March 14, 2014
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12:30PM - 2:00PM EDT
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Maxwell Dworkin G115
In Person
Too Many Data and Too Few Parameters: Mapping and Analysing the Whole Universe, A Challenge in Computational Science

HSPHBiostat: Adam C. Siepel
March 13, 2014
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12:30PM - 2:00PM EDT
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FXB G12
In Person
New Methods for the Analysis of Human Population Genomic Data

ApplStatWksp: Daniel O'Brien
March 12, 2014
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12:00PM - 1:30PM EDT
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CGIS Knafel K354
In Person
Ecometrics in the Age of Big Data: Measuring and Assessing Neighborhood Characteristics Using Administrative Records

ResearchStats: Simon Lunagomez & Hillel Bavli
March 11, 2014
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12:00PM - 1:00PM EDT
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Science Center Rm. 705
In Person
Simon LunagomezValid Inference from Non-Ignorable Network Sampling DesignsHillel Bavli Aggregating for Accuracy: Sampling and Extrapolation as a Means of Addressing Judgment Variability in the Law

StatColloq: Rui Tuo
March 10, 2014
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4:15PM - 5:15PM EDT
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Science Center Rm. 705
In Person
A Theoretical Framework for Calibration in Computer Models: Parametrization, Estimation and Convergence Properties

No title - 1121885
March 6, 2014
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4:15PM - 5:30PM EST
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E62-650
In Person
Using Web Intelligence to Make Strategic Business Decisions

MIT ORC: Staffan Truvé
March 6, 2014
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4:15PM - 5:30PM EST
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E62-650
In Person
Using Web Intelligence to Make Strategic Business Decisions

ApplStatWksp: Ned Hall
March 5, 2014
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12:00PM - 1:30PM EST
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CGIS Knafel K354
In Person
In Praise of Causal Mechanisms

StatClimatol: Pierre Lermusiaux
March 4, 2014
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4:30PM - 5:30PM EST
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Science Center Rm. 705
In Person
Bayesian Inference of Dynamical Model FormulationIn this presentation, we address a holistic set of challenges in ocean Bayesian nonlinear estimation: i) predict the probability distribution functions (pdfs) of large nonlinear ocean systems using...

Stat Colloq: Mark Hansen
March 3, 2014
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4:15PM - 5:15PM EST
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Science Center Lecture Hall A
In Person
Information Performance

BrownCSSem: Hernando Ombao
March 3, 2014
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3:30PM - 5:00PM EST
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Room 245, 121 South Main Street, Providence
In Person
Modeling Cross-Oscillatory Interactions with Applications to Multivariate Brain Signals

IACS Sem: Stratos Idreos
February 28, 2014
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12:30PM - 2:00PM EST
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Maxwell Dworkin G115
In Person
Soon Everyone Will Be a "Data Scientist" or "Data Explorer." What Data Systems Will They Be Using?

MIT ORC: Abba Kreiger
February 27, 2014
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4:15PM - 5:30PM EST
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E62-650
In Person
Matching on-the-fly: Sequential Allocation with Higher Power and Efficiency

BUStatPrSem: Jeremy Achin
February 27, 2014
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4:00PM - 5:00PM EST
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MCS 148
In Person
Applied Data Science: Extracting Maximum Value from Real-World Data

HSPHBiostat: Susan A. Murphy
February 27, 2014
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12:30PM - 2:00PM EST
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FXB G12
In Person
Machine Learning Methods for Individualizing Just in Time Adaptive Interventions

BCASA Banquet
February 26, 2014
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7:00PM - 8:30PM EST
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Kotzen Room, Beatley Library and Lefavour Hall, Simmons College
In Person
Boston Chapter of the American Statistical AssociationMosteller Statistician of the Year BanquetWhat do Twinkies and the Mosteller Statistician of the Year Have in Common?Katherine MontiRegistration required; presentation free (dinner beforehand is not)

ApplStatWksp: Adam Glynn
February 26, 2014
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12:00PM - 1:30PM EST
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CGIS Knafel K354
In Person
Front-Door Difference-in-Differences Estimators: The Effects of Early In-person Voting on Turnout(joint work with Konstantin Kashin)

ResearchStats: Luke Bornn
February 25, 2014
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12:00PM - 1:00PM EST
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Science Center Rm. 705
In Person
Luke Bornn Herded Gibbs Sampling

Stat Colloq: Robert B. Gramacy
February 24, 2014
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4:15PM - 5:15PM EST
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Science Center Rm. 705
In Person
Local Gaussian Process Approximation for Large Computer Experiments

BrownCSSem: Michael J. Daniels
February 24, 2014
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3:30PM - 5:00PM EST
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Room 245, 121 South Main Street, Providence
In Person
A Flexible Bayesian Approach to Monotone Missing Data in Longitudinal Studies with Informative Missingness

BU Big Data
Feb 21, 2014
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12:00AM EST
In Person
Revisiting the Foundations of Statistics in the Era of Big Data: Scaling Up to Meet the Challengeincluding a talk by Xiao-Li Meng, Harvard Univ., entitled "Multi-Resolution Inference: An Engineering (Engineered?) Foundation of Statistical Inference"