CBS

New data sources and inference methods for statistics

This paper reviews methodological issues if non-probability data are used to compile official statistics. Two different research lines can be identified to use non-probabilty data sources in the ...
ascopubs.org

Postprediction Inference for Clinical Characteristics Extracted With Machine Learning on Electronic Health Records

Real-world data (RWD) derived from electronic health records (EHRs) are often used to understand population-level relationships between patient characteristics and cancer outcomes. Machine learning ...
isixsigma on MSN

Mastering the Basics: The Fundamentals of Statistics and Inference

Statistics is a branch of math that involves the collection, description, analysis, and inference of conclusions from ...
lse

Statistical Inference: Principles, Methods and Computation

This course is compulsory on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research), MSc in Statistics (Research), MSc in Statistics ...
JSTOR Daily

Bayesian Phylogenetic Inference Using a Combinatorial Sequential Monte Carlo Method

The application of Bayesian methods to large-scale phylogenetics problems is increasingly limited by computational issues, motivating the development of methods that can complement existing Markov ...
lse

Statistical Inference: Principles, Methods and Computation

This course is compulsory on the MSc in Statistics, MSc in Statistics (Financial Statistics), MSc in Statistics (Financial Statistics) (Research) and MSc in Statistics (Research). This course is ...