Seminar

2013 Dec 05

IACS Sem: David Cox

4:00pm to 5:15pm

Location: 

Maxwell Dworkin G125
Can Neuroscience Help Us Build Better Computer Vision and Machine Learning Systems?
2014 Mar 03

BrownCSSem: Hernando Ombao

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Modeling Cross-Oscillatory Interactions with Applications to Multivariate Brain Signals
2014 May 02

BrownCSSem: Timothy D. Johnson

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
The Estimation of Spatially Varying Coefficients via a Spatial GLMM with Application to Multiple Sclerosis MRI Data
2014 Oct 20

BrownCSSem: Martin Lindquist

3:30pm to 5:00pm

Location: 

Room 245, 121 South Main Street, Providence
Functional Causal Mediation Analysis with an Application to Brain Connectivity
2015 Feb 02

BUStatPrSem: Dena Asta

4:00pm to 5:00pm

Location: 

MCS 148
Geometric methods for the statistical analysis of non-Euclidean data and networks
2015 Sep 17

BUStatPrSem: Lei Guo

4:00pm to 5:00pm

Location: 

MCS B33
The power of message networks: Semantic network analysis of media effects in Twittersphere during the 2012 U.S. presidential election
2015 Oct 15

BUStatPrSem: Pierre Jacob

4:00pm to 5:00pm

Location: 

MCS B33

Title: Estimation of the Derivatives of Functions that Can Only be Evaluated with Noise

Abstract: Iterated Filtering methods have recently been introduced to perform maximum likelihood parameter estimation in state-space models, and they only require being able to simulate the latent Markov model according to its prior distribution. They rely on an approximation of the score vector for general statistical models based upon an artificial posterior distribution and bypasses the calculation of any derivative. We show here that this score...

Read more about BUStatPrSem: Pierre Jacob
2013 Oct 24

BUStatPrSem: Marvin Nakayama

4:00pm to 5:00pm

Location: 

MCS 148
Efficient Simulation of Risk and its Error: Confidence Intervals for Quantiles When Using Variance-Reduction Techniques

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