Fall 2020 -- Spring 2023 [Department of Mathematics and Statistics, Binghamton University]

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====== Fall 2020 -- Spring 2023 ======


==== Spring 2023 ====
   * **February 14, 2023 **\\ //Speaker//: [[https://www.binghamton.edu/pharmacy-and-pharmaceutical-sciences/departments/pharmaceutical-sciences/profile.html?id=yfang8|Dr. Yuan Fang]] (Binghamton University)\\ //Topic//: Clustering disease trajectories: statistical method applications and evaluation.\\  [[seminars:datasci:021423|Abstract]]



   * **February 21, 2023 **\\ //Speaker//: [[https://lsa.umich.edu/stats/people/faculty/xuhe.html#:~:text=Xuming%20He%20received%20his%20PhD,Carver%20Collegiate%20Professor%20in%202011|Dr. Xuming He]] (University of Michigan)\\ //Topic//: How Good is Your Best Selected Subgroup.\\  [[seminars:datasci:022123|Abstract]]


   * **February 28, 2023 **\\ //Speaker//: [[http://jdwilson-statistics.com/|Dr. James D. Wilson]] (University of San Francisco)\\ //Topic//: The Political Brain: Associations of Tasked-based Functional Connectivity Networks and Political Ideology.\\  [[seminars:datasci:022823|Abstract]]


   * **March 7, 2023 **\\ //Speaker//: [[https://sites.rutgers.edu/sijian-wang/|Dr. Sijian Wang]] (Rutgers, The State University of New Jersey)\\ //Topic//: Dynamic Attention-Based Functional Data Analysis.\\  [[seminars:datasci:030723|Abstract]]



   * **March 14, 2023 **\\ //Speaker//: [[https://www.ruhr-uni-bochum.de/mathematik3/en/dette.html|Dr. Holger Dette]] (Ruhr-Universitaet Bochum)\\ //Topic//: Functional data analysis on Banach spaces.\\  [[seminars:datasci:031423|Abstract]]


   * **March 21, 2023 **\\ //Speaker//: [[https://oid.wharton.upenn.edu/profile/hamsab|Dr. Hamsa Bastani]] (University of Pennsylvania)\\ //Topic//: Efficient and targeted COVID-19 border testing via reinforcement learning.\\  [[seminars:datasci:032123|Abstract]]


   * **March 28, 2023 **\\ //Speaker//: [[https://statistics.ucdavis.edu/people/jie-peng|Dr. Jie Peng]] (UC Davis)\\ //Topic//: Statistical methods for diffusion MRI.\\  [[seminars:datasci:032823|Abstract]]


   * **April 11, 2023 **\\ //Speaker//: [[https://www2.math.binghamton.edu/p/people/haines/start|Dr. Chris Haines]] (Internal)\\ //Topic//:  Independent Spacings Theorem  with a Maximum Product Spacings Estimation Application.\\  [[seminars:datasci:041123|Abstract]]


   * **April 18, 2023 **\\ //Speaker//: [[https://scholars.duke.edu/person/ka29|Dr. Konstantin G. Arbeev]] (Duke University)\\ //Topic//: How Good is Your Best Selected SubgroupStochastic process models: Bringing biology to statistics to advance research on aging.\\  [[seminars:datasci:041823|Abstract]]


   * **April 27, 2023 **\\ //Speaker//: [[http://personal.psu.edu/ril4/|Dr. Runze Li]] (Penn State University)\\ //Topic//: Model-Free Conditional Feature Screening with FDR Control.\\  [[seminars:datasci:042723|Abstract]]

==== Fall 2022 ====
   * **September 20, 2022 **\\ //Speaker//: Dr. Soumik Banerjee (Internal)\\ //Topic//: Likelihood-based Approach for Testing the Homogeneity of Risk Difference in a Multicenter Randomized Clinical Trial.\\  [[seminars:datasci:092022|Abstract]]


   * **October 4, 2022 **\\ //Speaker//: [[https://sites.google.com/view/chao-huang/|Dr. Chao Huang]] (Florida State University)\\ //Topic//: Shape-on-Scalar Regression Models: Going Beyond Prealigned Non-Euclidean Responses.\\  [[seminars:datasci:100422|Abstract]]


   * **October 25, 2022 **\\ //Speaker//: [[https://www.gmu.edu/profiles/jstufken/|Dr. John Stufken]] (George Mason University)\\ //Topic//: Musings on Subdata Selection.\\  [[seminars:datasci:102522|Abstract]]


   * **November 1, 2022 **\\ //Speaker//: [[https://www.marshall.usc.edu/personnel/jinchi-lv/|Dr. Jinchi Lv]] (University of Southern California)\\ //Topic//: High-Dimensional Knockoffs Inference for Time Series Data.\\  [[seminars:datasci:110122|Abstract]]


   * **November 8, 2022 **\\ //Speaker//: [[https://rsong.wordpress.ncsu.edu/| Dr. Rui Song]] (North Carolina State University)\\ //Topic//: On statistical inference for sequential decision making.\\  [[seminars:datasci:110822|Abstract]]


   * **November 15, 2022 **\\ //Speaker//: [[https://publichealth.buffalo.edu/biostatistics/faculty-and-staff/faculty-directory/hageman.html| Dr. Rachael Hageman Blair]] (University at Buffalo)\\ //Topic//: Harnessing stability estimation for module detection, clustering, and ensemble clustering.\\  [[seminars:datasci:111522|Abstract]]


   * **December 6, 2022 **\\ //Speaker//: [[https://www.afranks.com/| Dr. Alexander Franks]] (University of California, Santa Barbara)\\ //Topic//: Sensitivity to Unobserved Confounding in Studies with Factor-structured Outcomes.\\  [[seminars:datasci:120622|Abstract]]

==== Spring 2022 ====
   * **Apr. 5, 2022 **\\ //Speaker//: Dr. Soumik Banerjee (Internal)\\ //Topic//: Multistage Minimum Risk Point Estimation (MRPE) with First-Order and Second-Order Asymptotic Properties.\\  [[seminars:datasci:040522|Abstract]]


   * **Apr. 26, 2022 **\\ //Speaker//: [[https://sites.google.com/view/kriznakumar/home|Dr. Krishnakumar Balasubramanian]] (The University of California, Davis)\\ //Topic//: Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos.\\  [[seminars:datasci:042622|Abstract]]


   * **May 3, 2022 **\\ //Speaker//: [[https://sph.unc.edu/adv_profile/hongtu-zhu-phd/|Dr. Hongtu Zhu]] (University of North Carolina)\\ //Topic//: Challenges in Biobank-scale: Imaging Genetics and Beyond.\\  [[seminars:datasci:050322|Abstract]]


   * **May 10, 2022 **\\ //Speaker//: [[https://sites.google.com/site/yaozhengerica/|Dr. Yao Zheng]] (University of Connecticut)\\ //Topic//: Tensor methods for high-dimensional time series modeling.\\  [[seminars:datasci:051022|Abstract]]
==== Fall 2021 ====
   * **Sep. 14, 2021 **\\ //Speaker//: [[http://www.personal.psu.edu/mlr36/|Dr. Matthew Reimherr]] (Pennsylvania State University)\\ //Topic//: KNG - A New Mechanism for Data Privacy.\\  [[seminars:datasci:091421|Abstract]]


   * **Sep. 21, 2021 **\\ //Speaker//: [[https://www.linkedin.com/in/haoda-fu-17a5256|Dr. Haoda Fu]] (Eli Lilly and Company)\\ //Topic//: Our Recent Development on Cost Constraint Machine Learning Models.\\  [[seminars:datasci:092121|Abstract]]


   * **Sep. 28, 2021 **\\ //Speaker//: [[http://ericfrazerlock.com/|Dr. Eric F. Lock]] (University of Minnesota)\\ //Topic//: Bidimensional Linked Matrix Decomposition for Pan-Omics Pan-Cancer Analysis.\\  [[seminars:datasci:092821|Abstract]]



   * **Oct. 19, 2021 **\\ //Speaker//: [[https://ph.ucla.edu/faculty/senturk/|Dr. Damla Senturk]] (UCLA)\\ //Topic//: Multilevel Modeling of Spatially Nested Functional Data: Spatiotemporal Patterns of Hospitalization Rates in the U.S. Dialysis Population.\\  [[seminars:datasci:101921|Abstract]]


   * **Oct. 26, 2021 **\\ //Speaker//: [[https://vcresearch.berkeley.edu/faculty/giles-hooker|Dr. Giles Hooker]] (UC Berkeley)\\ //Topic//: There is No Free Variable Importance: Traps in Interpreting Black Box Functions.\\  [[seminars:datasci:102621|Abstract]]


   * **Nov. 2, 2021 **\\ //Speaker//: [[https://www.publichealth.columbia.edu/people/our-faculty/yw2016|Dr. Yuanjia Wang]] (Columbia University)\\ //Topic//: Machine Learning Approaches for Optimizing Treatment Strategies for Mental Disorders.\\  [[seminars:datasci:110221|Abstract]]


   * **Nov. 9, 2021 **\\ //Speaker//: Dr. Megan Johnson (Internal)\\ //Topic//: The Interconnectivity Vector and the Betti Sequence: Finite-Dimensional Vector Representations of Persistent Homology.\\  [[seminars:datasci:110921|Abstract]]


   * **Nov. 16, 2021 **\\ //Speaker//: [[https://www.k-state.edu/stats/people/Wu.html|Dr. Cen Wu]] (Kansas State University)\\ //Topic//: Robust Bayesian variable selection for gene-environment interactions.\\  [[seminars:datasci:111621|Abstract]]


   * **Nov. 30, 2021 **\\ //Speaker//: [[https://theodds.github.io|Dr. Antonio Linero]] (University of Texas at Austin)\\ //Topic//: Bayesian Decision Tree Ensembling Strategies for Nonparametric Problems.\\  [[seminars:datasci:113021|Abstract]]


   * **Dec. 7, 2021 **\\ //Speaker//: [[https://faculty.sites.uci.edu/qulab|Dr. Annie Qu]] (University of California Irvine)\\ //Topic//: Correlation Tensor Decomposition and Its Application in Spatial Imaging Data.\\  [[seminars:datasci:120721|Abstract]]



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==== Spring 2021 ====

   * **Mar. 02, 2021 **\\ //Speaker//: [[https://www.macewan.ca/wcm/SchoolsFaculties/ArtsScience/Departments/MathematicsStatistics/OurPeople/FRANCZAKB|Brian Franczak]] (MacEwan University)\\ //Topic//: On using mixtures of shifted asymmetric Laplace distributions for model-based classification.\\  [[seminars:datasci:020321|Abstract]]

   * **Mar. 23, 2021 **\\ //Speaker//: [[https://publichealth.gwu.edu/departments/biostatistics-and-bioinformatics/adam-ciarleglio|Adam Ciarleglio]] (The George Washington University)\\ //Topic//: Multiple imputation in functional regression with applications to EEG data in a depression study.\\  [[.:datasci:032321|Abstract]]

   * **March 30, 2021 **\\ //Speaker//: Wenshu Dai (Binghamton University)\\ //Topic//: Finite Mixtures of Regression Models and Finite Mixtures of Regression Models with Concomitant Variables for Clustering Microbiome Data.\\  [[seminars:datasci:210330|Abstract]]

   * **April. 13, 2021 **\\ //Speaker//: [[http://merlot.stat.uconn.edu/~nalini/|Nalini Ravishanker]] (University of Connecticut)\\ //Topic//: Biclustering Approaches for High-Frequency Time Series.  \\  [[seminars:datasci:130421|Abstract]]

   * **April. 27, 2021 **\\ //Speaker//: [[https://www.uwinnipeg.ca/mathstats/faculty/melody-ghahramani.html|Melody Ghahramani]] (The University of Winnipeg)\\ //Topic//:Time Series Regression for Zero-Inflated and Overdispersed Count Data: A Functional Response Model Approach.\\  [[seminars:datasci:270421|Abstract]]

   * **May 04, 2021 **\\ //Speaker//: Zhou Wang (Binghamton University)\\ //Topic//: Multiclass Anomaly Detector: the CS++Support Vector Machine\\  [[seminars:datasci:210504|Abstract]]

 
==== Fall 2020 ====

   * **Oct. 20, 2020 **\\ //Speaker//: [[http://faculty.bscb.cornell.edu/~basu/|Sumanta Basu]] (Cornell University)\\ //Topic//: Measuring Systemic Risk with Graphical Models of Time Series Data.\\  [[seminars:datasci:201020|Abstract]]

   * **Oct. 27, 2020 **\\ //Speaker//: [[https://www.feinberg.northwestern.edu/faculty-profiles/az/profile.html?xid=33821|Yuan Luo]] (Northwestern University)\\ //Topic//: A Multidimensional Precision Medicine Approach Identifies an Autism Subtype Characterized by Dyslipidemia\\  [[seminars:datasci:201027|Abstract]]

     * **Nov. 3, 2020 **\\ //Speaker//: [[http://www2.math.binghamton.edu/p/people/grads/szhao/start|Shaofei Zhao]]  (Binghamton University)\\ //Topic//: Distribution-free and nonparametric multivariate feature screening via measure transportation for high dimensional response and predictor variables.\\ [[seminars:datasci:201103|Abstract]]