A Bayesian survival analysis of Ethiopian demographic data shows that under-five mortality is concentrated in infancy, with ...

This research achieves a 33% saving in quantum solves for materials configuration search using Bayesian Weight Selection.

Researchers have developed an importance-sampling-based black box variational inference algorithm that reuses earlier ...

Sense of control rebounds: 78% of Americans feel in control of their day-to-day finances, up from 73% in September. Households earning $100 ,000+ drove some of this gain, jumping from 81% to 89% month ...

An informative sampling design leads to the selection of units whose inclusion probabilities are correlated with the response variable of interest. Inference under the population model performed on ...

A Bayesian hierarchical model (also called a multilevel model) solves a specific problem: you have data broken into groups — sites, labs, patients, schools, batches — and you must decide how much each ...

A medical test for a rare disease comes back positive. The test catches 95% of true cases. Your doctor looks worried. But Bayesian statistics reveals something counterintuitive: there's only an 8.8% ...

Newswise — By dynamically adjusting sampling frequency based on uncertainty and prior information, this method cuts data acquisition by up to 80% without compromising essential biological insights.

In this tutorial, we explore Bayesian regression using PyMC -- the primary library for Bayesian sampling in Python -- focusing on survey data and other datasets with categorical outcomes. Starting ...

WASHINGTON, D.C. -- Opt-in panel sampling has become a popular and relatively inexpensive method for collecting survey data, but it's important to understand its benefits and challenges. Opt-in panels ...

Numerical optimization plays a vital role in the design of complex engineered systems. Real world engineered systems are seldom designed based on a single objective; rather they involve multiple ...