Overview:  Statistics courses teach practical data analysis skills that can be used in real jobs and business ...

As of March 2026, JASP released version 0.96.0, bringing a fresh, user-friendly experience for psychology students tackling complex statistical analyses without the cost of SPSS. Simultaneously, ...

This is achieved via Bayesian Design of Experiments, which helps to efficiently navigate parameter search spaces. It balances exploitation of parameter space regions known to lead to good outcomes and ...

Imagine a scenario where a team of doctors faces a perplexing medical puzzle. A patient shows a range of symptoms, each pointing to multiple possible diseases. How can they navigate this diagnostic ...

Dr. James McCaffrey of Microsoft Research shows how to predict a person's sex based on their job type, eye color and country of residence. Naive Bayes classification is a classical machine learning ...

From choosing the right statistical test to reporting results in APA style, mastering statistics is essential for credible and impactful psychological research. Clear, transparent reporting not only ...

IR, and NMR. From automatic determination of peak count and peak shape to background and noise estimation, AutoStatSpectra enables analysis with less dependence on individual analyst experience.

For those unafraid of equations, What Are the Odds? is a practical, insightful guide to thinking like a statistician.

Abstract: This work takes a critical look at the application of conventional machine learning methods to wireless communication problems through the lens of reliability and robustness. Deep learning ...

Abstract: We present a deep-learning method for a single-station earthquake location, which we approach as a regression problem using two separate Bayesian neural networks. We use a multitask temporal ...