GSS
The Graduate Students Seminar (GSS) series is an opportunity for graduate students in our department to showcase some of the cool things they are doing, gain presentation practice, and get to know each other. The presentations can be on a variety of topics, including research, projects, internships, a topic you wanted to investigate, a paper that you found interesting, and more. Anything that is appropriate for the graduate-student level audience that could be of interest to the graduate students of this department is welcomed.
The GSS welcomes, and ENCOURAGES, anyone who is interested to attend. This includes undergraduates, faculty, and staff. This is open to ALL graduate students. We are hoping to get a variety of topics and perspectives. Please email ucr.grad.stat@gmail.com your name as soon as possible if you would be willing to put together a presentation, we would be delighted to have you.
Events
Upcoming Events
UCR High-Performance Computing Center with applications in parallel computing
Presenter: Isaac Quintanilla Salinas
Date: 5/20/2022
Previous Events
Discovering and solving reaction-diffusion models for pollen tube tip growth with deep learning algorithms
Presenter: Sichen Chen
Date: 5/13/2022
Estimating Treatment Shift Distributions using eCDFs and Numerical Analysis
Presenter: Jeff Ellis
Date: 5/1/2022
Analysing risk effects of death after aortic valve replacement surgery: a comparison of joint and marginal models
Presenter: Trey McGonigle
Date: 4/15/2022
Introduction to Statistical Network Analysis
Presenter: Eric Hayes
Date: 4/8/2022
General State Space Markov Chains
Presenter: Noe Vidales
Date: 2/25/2022
Applying to Assistant Professor Positions at the California State University System
Presenter: Isaac Quintanilla Salinas
Date: 2/11/2022
Introduction to Python for R Users
Presenter: Rebecca Kurtz-Garcia
Date: 1/28/2022
Introduction to Time Series Analysis
Presenter: Brian Tran
Date: 11/17/2021
Generalized Additive Models in R using mgcv
Presenter: Jeff Ellis
Date: 11/12/2021
Outlier Detection for Sparse Functional Data with Cellwise Contamination
Presenter: Xiao Gao
Date: 4/30/2021
An Introduction to Joint Models of Longitudinal and Time-to-Event Outcomes
Presenter: Debaleena Sain
Date: 4/23/2021
Parallel Computing with HPCC
Presenter: Isaac Quintanilla Salinas
Date: 3/11/2021
Real-Time Classification of Atrial Fibrillation using ECG Characteristics
Presenter: Jericho Lawson
Date: 2/4/2021
Introduction to Tidyverse
Presenter: Kim Phan
Date: 1/28/2021
SEMI-PARAMETRIC ESTIMATION IN A TWO-COMPONENT LOCATION-SHIFTED MIXTURE MODEL WITH PARTIALLY KNOWN COMPONENT LABELS
Presenter: Bradley Lubich
Date: 12/10/2020
HOW TO PREPARE FOR DATA SCIENCE INTERNSHIPS: PREREQUISITES, INTERVIEWS AND PROJECTS
Presenter: Jinhui (Jerry) Yang
Date: 11/05/2020
ASYMMETRIC LOSS FUNCTIONS IN MCMC ESTIMATION
Presenter: Deepak Bastola
Date: 06/02/2020
THE RCPP PACKAGE: INTEGRATING R AND C++
Presenter: Tyler Brannan
Date: 05/05/2020
VARYING-COEFFICIENT MODELS
Presenter: Isaac Quintanilla Salinas
Date: 04/21/2020
A BAYESIAN LONGITUDINAL ANALYSIS OF COUNT DATA WITH GAUSSIAN PROCESSES
Presenter: Samantha VanSchalkwyk
Date: 03/12/2020
BUILDING SIMULTANEOUS CONFIDENCE BANDS FOR FUNCTIONS
Presenter: Jinhui Yang
Date: 03/05/2020
JOINT SURVIVAL-LONGITUDINAL MODELING
Presenter: Tyler Brannan
Date: 02/27/2020
Data Science Internships
Presenter: Dong Ji
Date: 01/30/2020
Janssen Pharmaceuticals Internships Recap and Joint Modeling of Longitudinal and Time-to-Event Data
Presenter: Luke Klein
Date: 01/16/2020
Divide-and-Conquer for Expectile Regression Processes
Presenter: Zhen Zhang
Date: 12/06/2019
Identifying the Best Predictive Biomarker in Pharmacogenomics
Presenter: Song Zhai
Date: 11/22/2019
Bayesian Sensitivity Analysis to Adjust for Unmeasured Confounder in Causal Inference
Presenter: Bibby Zhou
Date: 11/08/2019