Tags: General event


William Brenneman

The Interplay between Statistical Practice and Academic Research Abstract: In the statistics field, there is a strong symbiotic relationship between academics and industry. We will explore this relationship primarily from a practicing statisticians’ perspective and discuss the lessons learned on how to foster, grow and bridge the gap between statistical practice and academic research. Several problems encountered in industry that led to academic…


David Banks

Deming and the Industries of Today Abstract: Dr. Deming was one of the foundational leaders in industrial statistics, with contributions to experimental design, sampling, and process control. More importantly, he changed the culture of business leadership in two nations, and implicitly, around the world. But the industries of his day focused on manufacturing, while today’s industries reflect the knowledge economy. This talk asks the industrial…


Vladimir Dragalin

SIMULATION GUIDED CLINICAL TRIAL DESIGN   Abstract: Simulation guided Clinical Trial Design is a framework for stimulating scientific dialogue between trial designer and clinical team with the final goal of developing the most appropriate design for the study. We create different “what-if” scenarios under different assumptions about the drug effect and simulate data from such scenarios and apply the design. We then see if under a scenario…


Shihao Yang

Inference of dynamic systems from noisy and sparse data via manifold-constrained Gaussian processes Abstract: Parameter estimation for nonlinear dynamic system models, represented by ordinary differential equations (ODEs) or partial differential equations (PDEs), using noisy and sparse experimental data is a vital task in many fields. We propose a fast and accurate method, manifold-constrained Gaussian process Inference, for this task. Our…


Vijay Nair

Presentation Slide - Machine Learning: Overview and Applications Supervised Machine Learning: Applications, Opportunities, and Challenges Abstract Machine learning (ML) algorithms have become popular in business, industry, and technology over the last few decades. This presentation will provide an overview of the developments and applications, with a focus on supervised learning methods that are applied in finance and banking. We will then…


Sujit Ghosh

Possible Hazards of Some Popular Hazard Rate Models Abstract The Cox proportional hazard (PH) model is widely used to determine the effects of risk factors and treatments on survival time of subjects that might be right censored. The selection of covariates depends crucially on the specific form of the conditional hazard model, which is often assumed to be PH, accelerated failure time (AFT), or proportional odds (PO). However, it is shown that…


Agus Sudjianto

Machine Learning for High-Risk Applications in Banking Renowned statistician George Box once famously stated, “All models are wrong, but some are useful.” In a world where machine learning increasingly automates important decisions about our lives, the consequences of model failures can be catastrophic. It’s critical to take deliberate steps to mitigate risk and avoid unintended harm. Evaluating the conceptual soundness of machine learning…


Robert Mee

A Synthesis for Order-of-Addition Models Abstract: A wide variety of models have been proposed recently for experiments that vary the order in which components are added, or steps are performed. There are models with a linear effect of each component's position in the sequence, and models with added quadratic effects and product terms. Kriging models based on a component's position have also been proposed. Before models based on each component's…


Statistics Resume Writing Workshop

Come to the workshop and have your resume spruced up while enjoying pizza! Make sure to bring your laptop and a copy of your resume!


JMP Workshop and Overview of Job Opportunities at JMP

JMP Workshop and overview of job opportunities at JMP by Dr. Ruth Hummel (JMP)
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