Fall 2017 -- Spring 2020

• Mar. 24, 2020
  CANCELLED AND POSTPONED
  Speaker: Sumanta Basu (Cornell University)

• April. 21, 2020
  Speaker: Liang Li, Yunhui Liu and Han Zhang
  Topic: Capstone Project: Factors Affecting PhD Student Success.
  Abstract

• April. 21, 2020
  CANCELLED AND POSTPONED
  Speaker: Adam Ciarleglio (George Washington University)

• May. 05, 2020
  CANCELLED AND POSTPONED
  Speaker: Yuan Luo (Northwestern University)

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See the schedule of the Interdisciplinary Dean's Speaker Series in Data Science.

• Oct. 9, 2019 (special day and time)
  Interdisciplinary Dean's Speaker Series in Data Science
  Speaker: Joseph W Hogan (Brown University)
  Topic: Using Electronic Health Records Data for Predictive and Causal Inference About the HIV Care Cascade
  Abstract

• Oct. 11, 2019 (Special Date and time)
  Speaker: Paul McNicholas (McMaster University)
  Topic: Clustering Higher-Order Data
  Abstract

• Oct. 22, 2019
  Speaker: Gen Li (Columbia University)
  Topic: Integrative multi-view regression: Bridging group-sparse and low-rank models.
  Abstract

• Oct. 24, 2019 (1:15 pm, stat seminar time)
  Speaker: Doug Turnbull (Ithaca College)
  Topic: TBA
  Abstract

• Oct. 29, 2019
  Speaker: Wangshu Tu (Binghamton University)
  Topic: A family of mixture models for biclustering
  Abstract

• Nov. 5, 2019
  Speaker: Wangshu Tu (Binghamton University)
  Topic: Non existence of fixed sample estimator for prescribed proportional closeness
  Abstract

• Nov. 8, 2019
  Interdisciplinary Dean's Speaker Series in Data Science
  Speaker: Andrew Gordon Wilson (New York University; Courant Institute of Mathematical Sciences)
  Topic: How do we build models that learn and generalize?
  Abstract

• Nov. 12, 2019
  Speaker: Kexuan Li (Binghamton University)
  Topic: A Hausman test for the presence of market microstructure noise in high frequency data
  Abstract

• Nov. 19, 2019
  Interdisciplinary Dean's Speaker Series in Data Science
  Time: 10am-11:30am
  Location: UUW325
  Speaker: Arthur Spirling (New York University; Politics and Data Science)
  Topic: Word Embeddings: What works, what doesn’t, and how to tell the difference for applied research
  Abstract

• Nov. 26, 2019
  Speaker: Wei Yang (Binghamton University)
  Topic: Random Covariance Matrix and the Marchenko-Pastur law
  Abstract

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• March 05, 2019
  Speaker: Rebecca Nugent (Carnegie Mellon University)
  Topic: Before Teaching Data Science, Let’s First Understand How People Do It
  Abstract

• March 12, 2019
  Speaker: Subhadeep (Deep) Mukhopadhyay (Temple University)
  Topic: Graph Data Science
  Abstract

• March 26, 2019
  The Dean's Speaker Series in Statistics and Data Science
  Speaker: Regina Y. Liu (Rutgers University)
  Topic: Fusion Learning: Efficient Combination of Inferences from Diverse Data Sources
  Abstract

• April 9, 2019
  Speaker: David Hunter (Pennsylvania State University)
  Topic: Multivariate Nonparametric Mixture Models
  Abstract

• April 16, 2019
  The Dean's Speaker Series in Statistics and Data Science
  Speaker: David Madigan (Columbia University)
  Topic: Towards honest inference from real-world healthcare data
  Abstract

• April 23, 2019
  Speaker: Daphney-Stavroula Zois (SUNY Albany)
  Topic: Spatiotemporal Quickest Change Detection for Traffic Accident Nowcasting
  Abstract

• April 30, 2019
  Speaker: Lin Yao (Binghamton University)
  Topic: Dissertation Defense - JAMES-STEIN-TYPE OPTIMAL WEIGHT CHOICE FOR FREQUENTIST MODEL AVERAGE ESTIMATOR
  Special time and location: 3:30 pm at OR 100D
  Abstract

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• October 9, 2018
  The Dean's Speaker Series in Statistics and Data Science
  Speaker: Sidney Resnick (Cornell University)
  Location: Old Champlain Atrium (unusual location)
  Topic: Fitting the Linear Preferential Attachment Model for Social Network Growth
  Abstract

• October 23, 2018
  The Dean's Speaker Series in Statistics and Data Science
  Speaker: David Ruppert (Cornell University)
  Topic: Density Estimation with Noisy Data
  Abstract

• November 13, 2018
  Speaker: Yudong Chen (Cornell University)
  Topic: Byzantine-Robust Distributed Learning with Non-converxity
  Abstract

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• January 30
  Speaker: Qiqing Yu (Binghamton University)
  Topic: Identifiability Conditions For The Linear Regression Model Under Right Censoring
  Abstract

• February 20
  Speaker: Yinsong Chen (Binghamton University)
  Topic:The Conductance and Mixing Time
  Abstract

• March 13
  Speaker: Jiexin Duan (Purdue University)
  Topic: Large-Scale Nearest Neighbor Classification with Statistical Guarantee
  Abstract

• March 20
  Speaker: Yuan Fang (Binghamton University)
  Topic: Bayesian Approach to Parameter Estimation for the mixtures of Multivariate Normal Inverse Gaussian Distributions
  Abstract

• April 10
  ​Speaker:​ Leila Setayeshgar (Providence College)
  Topic: Large Deviations for a Class of Stochastic Semilinear Partial Differential Equations
  ​ Abstract

• April 17
  Speaker: Wenbo Wang (Binghamton University)
  Topic: A look at distance-weighted discrimination
  Abstract

• April 24
  Speaker: Haomiao Meng (Binghamton University)
  Topic: Multicategory Angle-based Large-margin Classification
  Abstract

• May 1
  Speaker: Chen Liang (Binghamton University)
  Topic: Goodness of fit tests for clustered spatial point processes
  Abstract

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• September 19
  Speaker: Dan Yang (Rutgers University)
  Topic: Autoregressive Model for Matrix Valued Time Series
  Abstract

• September 26
  Speaker: Ji Meng Loh (New Jersey Institute of Technology)
  Topic: Single-index model for inhomogeneous spatial point processes
  Abstract

• November 14
  Speaker: Weijie Su (Wharton School of the University of Pennsylvania)
  Topic: TBA
  Abstract