Skip to Content

for

Statistics Career Placements

Archived Events

Keywords

Date Range

From

To

Select Tags (optional)

search

Archived Events

2015 MSSISS: Dr. Myron Gutmann, The Past, Present, and Future of Research Data Infrastructure

Department Seminar Series: Edward Ionides

Department Hosted Seminar: Igor Pruenster, Are Gibbs-type priors the most natural generalization of the Dirichlet process?

Department Seminar Series: Rina Foygel Barber, Robust inference on edges in non-Gaussian graphical models with ROCKET

Faculty Research Presentations Series: Professors Ben Hansen, Yves Atchade, and Vijay Nair

Department Seminar Series: Ambuj Tewari, Statistical learning theory for ranking problems

Faculty Research Presentations Series:Professors Stilian Stoev, Ji Zhu, and Robert Keener

Larry Wasserman, Topological Data Analysis

Michael Woodroofe Lecture Series: Larry Wasserman, Topological Data Analysis

Student Seminar Series: Special student invited speaker: Larry Wasserman, PhD.

Student Seminar Series: Statistics PhD Candidate's Annaul Reports

Department Seminar Series: Daniel Sewell, "Latent space models for dynamic networks"

Student Seminar Series: Statistics PhD Candidate's Annaul Reports

Department Seminar Series: Somak Dutta, Lattice based approximations of Matérn dependence and related matrix-free statistical computations

Department Seminar Series: Lucy Xia, A Conditional Dependence Measure with Applications to Undirected Graphical Models

Student Seminar Series: Statistics PhD Candidate's Annaul Reports

Department Seminar Series: Stanislav Volgushev, Quantile-based spectral analysis

Department Seminar Series: Yuekai Sun, Distributed estimation and inference for sparse regression

Student Seminar Series: Yuan Zhang, Annual Report, "Detecting Overlapping Communities in Networks with Spectral Methods"

Oral Prelim: Shrijita Bhattacharya, Statistics on data streams with applications to the analysis high volume network flows

Department Seminar Series: Johannes Lederer, Tuning parameters in high-dimensional statistics

Oral Prelim: Michael Hornstein, A Matrix-Variate Approach to Large-Scale Inference with Dependent Observations

Oral Prelim: Kam Chung Wong, Estimation in High-dimensional Vector Autoregressive Models with Noisy And Corrupted Data

Oral Prelim: Mohamad Kazem Shirani Faradonbeh, Algorithms for Controllability of Random Networks

Department Seminar Series: Miles Lopes, “Denoising for Unknown Sparsity in Compressed Sensing”

Student Seminar Series: Jing Ma, Sandipan Roy, James Henderson, Annual Reports

Oral Prelim: Ziheng Yang, A Non-negative Factorization Method for Detecting

Department Seminar Series: Pramita Bagchi, “Inference for Monotone Functions Under Short and Long Range Dependence: New Universal Limits"

Department Seminar Series: Johann Gagnon-Bartsch, Removing Unwanted Variation with Negative Controls

Student Seminar Series: Dr. Zhi (Kevin) He, Gateaux differentials based boosting for fitting large-scale survival data

Department Seminar Series: Sandipan Roy,Change-point Estimation in High Dimensional Markov Random Field Models

Department Seminar Series: Joshua French, Credible Regions for Exceedance Sets of Geostatistical Data

Student Seminar Series: Somak Dutta

Statistics Department Hosted Seminar Series by Professor Yves Atchade: Rahul Mazumder, Exact Subset Selection in Regression via a Modern Optimization Lens

Oral Prelim: Yingchuan Wang, Logistic-Normal Mixtures with Heterogeneous

Department Seminar Series: Michael Cafarella, Input Selection for Fast Feature Engineering

Student Seminar Series: Ashwini Maurya, A Well Conditioned and Sparse Estimate of Covariance and Inverse Covariance Matrix Using a Joint Penalty

Student Seminar Series:Yang Liu, Anatomy of Network-Level Malicious Activities: Connectedness and Inter-Dependence

Department Seminar Series: Lucas Mentch, Ensemble Trees and CLTs: Using Subsamples to Peek Inside the Black Box

Student Seminar Series: Kristjan Greenewald, Robust Kronecker Product PCA for Spatio-Temporal Covariance Estimation

U-M Statistics Open Advising Day

Statistics Department Hosted Seminar Series by Professor Yves Atchade: Jie Chen, Linear-Complexity Kernel Matrix Computation and Its Use in Gaussian Processes

Department Seminar Series: Adityanand Guntuboyina, Adaptation in some shape constrained regression problems

Department Seminar Series: Brian Reich, A spectral method for spatial downscaling

Student Seminar Series: Prof. Brian Reich, A spectral method for spatial downscaling

Statistics Department Hosted Seminar by Professor Ambuj Tewari:Shivani Agarwal, Statistical Learning in Complex Prediction Spaces: What Do We Know?

Oral Prelim: Bopeng Li, Combining Network Topology and Node Features for Link Prediction via Multiple Kernel Learning

Statistics Department Hosted Seminar: Professor Ya'acov Ritov, A priori vs. a posteriori consistency in high dimensional estimation

Statistics Department Hosted Seminar Series by Professor Yves Atchade: Vincent Q. Vu, A new approach to sparse PCA

Department Seminar Series: Michael Newton, Putting lots of things in order: rvalues for ranking in large-scale inference

Student Seminar Series: Chansoo Lee

Statistics Department Hosted Seminar Series by Professor Yves Atchade: Sharmodeep Bhattacharyya, Statistical Inference of Nonparametric Latent Variable Network Models

Department Seminar Series: Philippe Rigollet, Optimal group size for ethical multi-stage clinical trials

Student Seminar Series: Raphael Nishimura, Substitution of Nonresponding Primary Sampling Units

Statistics Department Hosted Seminar Series by Professor Yves Atchade: Saharon Rosset, Quality Preserving Databases: Statistically Sound and Efficient Use of Public Databases for an Infinite Sequence of Tests

Department Seminar Series: Yehua Li, Functional Principal Component Analysis of Spatial-Temporal Point Processes with Applications in Disease Surveillance

Student Seminar Series: Student Annual Reports, Dao Nguyen, Emmy Lei, and Pramita Bagchi

Department Seminar Series: Moulinath Banerjee, M Estimation under Multistage Sampling

Joint Seminar: The Departments of Biostatistics and Statistics present: Michael Kosorok, Personalize Medicine, Clinical Trials and Machine Learning

Student Seminar Series: Christopher Antoun, Comparing Errors from Noncoverage and Nonresponse in a Mobile Web Survey

Student Seminar Series: Vadim Kutsyy, Discussion session and campus recruitment from eBay

Department Seminar Series: Xiaotong Shen, Estimation of a directed acyclic Gaussian graph

Student Seminar Series: Round-Table Discussion on Summer Internship

Student Seminar Series: Robert Yuen, A Gauss-Pareto process model for spatial prediction of extreme precipitation

Department Seminar Series: Yongtao Guan, Quasi-Likelihood for Spatial Point Processes

Statistics Department Hosted Seminar by Professor Liza Levina: Jean Yee Hwa Yang, Network-based biomarkers enhance classical approaches to prognostic gene expression signatures

Department Seminar Series: C. David Remy, Natural Dynamics in Legged Locomotion

Oral Prelim: Yun-Jhong Wu, Low-rank effects models for link prediction

Dissertation Defense: Ming-Chi Hsu, Contributions to Effect Size Analysis with Large Scale Data

Oral Prelim: Nhat Ho, Convergence rate of matrix-variate parameter estimation in finite mixture models and novel approach of assessing bicycle-motor crash data

Oral Prelim: Joonha Park, Computational sampling methods in high dimension and applications to modelling of infectious diseases

Dissertation Defense: Nirupam Chakrabarty, Semi-parametric Estimation of Target Location in Wireless Sensor Network

Dissertation Defense: Thomas Brown, Analyzing Spatial Processes Locally

Oral Prelim: Tianshuang Wu, Set valued Dynamic Treatment Regimes

Dissertation Defense: Juan Shen, Model-based Inference for Subgroup Analysis

Department Seminar Series: Michael Perlman, Extinction or Explosion in a Galton-Watson Branching Process: Testing or Prediction?

Department Seminar Series: Runze Li, Feature Selection for Varying Coefficient Models With Ultrahigh Dimensional Covariates

Student Seminar Series: Statistics Ph.D. Candidates Annual Report

Department Seminar Series: Tanzeem Choudhury, Using Smartphones to Sense, Assess, and Improve Well-Being

Department Seminar Series: Nicholas Polson, Recursive Bayesian Computation

Student Seminar Series: 2014 Faculty Research Presentations Series

Department Seminar Series: Genevera Allen, Sparse and Functional Principal Components Analysis

Student Seminar Series: 2014 Faculty Research Presentations Series

Department Seminar Series: Stephen Walker, When Bayesian and Frequentist Hypothesis Testing Match

Student Seminar Series: Statistics Ph.D. Candidate's Annual Reports

MSSISS 2014 Conference: Jeff Wu, From Real World Problems to Esoteric Research: Some Examples

Student Seminar Series: 2014 Faculty Research Presentations Series

Department Seminar Series: Susan A. Murphy, Machine Learning Methods for Individualizing Just in Time Adaptive Interventions

Student Seminar Series: 2014 Faculty Research Presentations Series

Department Seminar Series: Andrew Finley, Improving Crop Model Inference through Bayesian Melding with Spatially-varying Parameters

Student Seminar Series: Statistics Ph.D. Candidates Annual Report

Student Paper Discussion with M. Elizabeth Halloran, MD.

Department Seminar Series: M. Elizabeth Halloran, Predictive Modeling of Cholera Outbreaks in Bangladesh

Department Seminar Series: Ramon van Handel, Conditional Phenomena in Time and Space

CANCELED - The Departments of Biostatistics and Statistics present: Michael Kosorok, Personalize Medicine, Clinical Trials and Machine Learning

Student Seminar Series: Group Discussion on Attending Conferences

Department Seminar Series: Lihong Li, Multi-World Testing: Unbiased Offline Evaluation in Contextual Bandits

Department Seminar Series: Joe Guiness, Fast Matrix-Free Methods for Massive Multivariate Spatial Lattice Data

Student Seminar Series: Juan Shen, Model-based Inference for Subgroup Analysis

Department Seminar Series: Eric Lock, Exploratory Methods for the Intgrated Analysis of Multi-Source Data

Department Seminar Series: Po-Ling Loh, Nonconvex Methods for High-dimensional Regression with Noisy and Missing Data

Student Seminar Series: Bobby Yuen, Estimating Stochastic Upper Bounds on Multivariate Extremes

Department Seminar Series: Richard Sutton, Ph.D., Mind and Data: Learning to Predict Long-term Consequences Efficiently

Department Seminar Series: Vinayak Rao, Stochastic Processes for Point Pattern Data

Department Seminar Series: Tamara Broderick, Feature Allocations, Paintboxes, and Probability Functions

Student Seminar Series: Ashkan Ertefaie, Constructing Optimal Dynamic Treatment Regimes from Longitudinal Data in Observational Study

Department Seminar Series: Fan Yang, Using Post-Quality of Life Measurement Information

Dissertation Defense: Zhanyang Zhang

Department Seminar Series: Guang Chen, Ph.D., A Long March Towards Joint Asymptotics: My 1st Steps...

Distinguished Faculty & Graduate Seminar Series: Mary Czerwinski, Ph.D., Emotion Tracking and Interventions for Memory, Health and Awareness

Student Seminar Series: Jing Ma, Network Enrichment Analysis with Incomplete Network Information

An International Year of Statistics Event: Michael Traugott, Ph.D., Estimating Election Outcomes with Different Statistical Methods

Department Seminar Series: Sumanta Basu, Estimation in High-dimensional Vector Autoregressive Models

Student Seminar Series: Annual Reports

Department Seminar Series: Arash Amini, Ph.D., Pseudo-likelihood methods for community detection in large sparse networks

Department Seminar Series: Laura Balzano, Ph.D., Subspace Estimation and Tracking when Data are Missing and Corrupted

Seminar Series: Stationarity and Random Locations

Seminar Series: Covariance Assisted Screening and Estimation

Student Seminar: Annual Reports

2013 Intl Year of Statistics Event: Learning Analytics - Using Data to Inform Teaching and Personalize Learning

Seminar Series: Covariance functions for mean square differentiable processes on spheres

Seminar Series: Belief Propagation and Phase Transitions in the Stochastic Block Model

Seminar Series: Graph estimation with matrix variate normal instances

Jayaram Sethuraman

Student Seminar:

Michael Hudgens

Student Seminar: Internship Panel Discussion

Student Seminar: Special Student Invited Speaker

Brenda Gunderson

Sougata Chaudhuri

Hossein Keshavarz

WOODROOFE SEMINAR SERIES - Bin Yu

Statistics Seminar: Kjell Doksum

Student Seminar: Special Student Invited Speaker

Statistics Seminar: Peter Hall

Statistics Seminar: Hui Zhou

Student Seminar: Zhaoshi (Josh) Meng

Statistics Seminar: Jef Teugels

Student Seminar: Arash Amini

Statistics Seminar: Harrison Zhou

Student Seminar: Annual Report 4

Statistics Seminar: The Lasso: Some Novel Algorithms and Applications

Statistics Seminar: Ravi Ramamoorthi

Statistics Seminar: Piotr Kokoszka

Statistics Seminar: Nonparametric Spatial Models for Extremes: Application to Extreme Temperature Data

Naveen Naidu Narisetty

James Henderson