Seminar by Tatiana Krikella
Please Note:Â This seminar will be held in-person.
Student seminar series Tatiana Krikella Location: M3 3127 |
Personalized Predictive Model that Jointly Optimizes Discrimination and Calibration
Please Note:Â This seminar will be held in-person.
Student seminar series Tatiana Krikella Location: M3 3127 |
Personalized Predictive Model that Jointly Optimizes Discrimination and Calibration
Please Note:Â This seminar will be given in person.
Statistics and Biostatistics seminar seriesÂ
Room: M3 3127 |
Optimal Discriminant Analysis in High-Dimensional Latent Factor Models
Please Note:Â This seminar will be held in-person.
Student seminar series Alexandra Mossman Location: M3 3127 |
Overview of Causal Inference in the Presence of Within- and Between-Group Interference
Please Note:Â This seminar will be given in person.
Statistics and Biostatistics seminar seriesÂ
Room: M3 3127 |
Causal Inference on Distribution Functions
Please Note:Â This seminar will be given both in person and virtually.
CANSSI seminar presented by the Statistics and Biostatistics seminar series Alison Burnham to attend. Hybrid format:
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Using Data Science to Optimize Business – Opportunities & Challenges
Please Note:Â This seminar will be given in person.
Statistics and Biostatistics seminar seriesÂ
Room: M3 3127 |
One-Step Estimation with Quasi-Newton and Scaled Proximal Methods
Please Note:Â This seminar will be given in person.
Actuarial Science and Financial Mathematics seminar seriesÂ
Room: M3 3127 |
The Dark Side of Circuit Breakers
Please Note:Â This seminar will be given in person.
Probability seminar seriesÂ
Room: M3 3127 |
Randomized Petty projection inequality
Please Note:Â This seminar will be held in-person.
Student seminar series Zelalem Negeri Location: M3 3127 |
Latent class models for an individual participant data meta-analyses of diagnostic test accuracy studies
Please Note:Â This seminar will be given in person.
Statistics and Biostatistics seminar series Ashok Chaurasia Room: M3 3127 |
Model-modified BIC as a competitor of BIC variants for model selection in regression and order selection in time series