IEEE

Joint Channel Estimation and Target Sensing for ISAC Systems: A Vandermonde-Structured Bayesian Tensor Decomposition Approach

Abstract: Integrated sensing and communication (ISAC) has emerged as a key enabler for future wireless networks by unifying communication and sensing functionalities within a shared framework. However ...
IEEE

Variational Bayesian Uncorrelated Conversion Filtering With Application to SOC Estimation

Abstract: State-of-charge (SOC) estimation plays a crucial role in battery management, and filtering methods based on equivalent circuit models (ECMs) are popular. In ECMs, the measured variable is ...
Scientific Research Publishing

Bilmes, J.A. (1998) A Gentle Tutorial of the EM Algorithm and Its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models. Technical Report ...

ABSTRACT: NILM (Nonintrusive Load Monitoring) or appliance recognition software that uses algorithms, namely Hidden Markov Model (HMM) and Factorial HMM, to detect changes in electricity values ...
marktechpost

A Coding Implementation to Build a Conditional Bayesian Hyperparameter Optimization Pipeline with Hyperopt, TPE, and Early Stopping

In this tutorial, we implement an advanced Bayesian hyperparameter optimization workflow using Hyperopt and the Tree-structured Parzen Estimator (TPE) algorithm. We construct a conditional search ...
Frontiers

Null hypothesis significance testing vs. Bayesian inference using generalized linear mixed models with binary outcomes: a case study under practical design constraints

Empirical investigation requires dealing with fundamental uncertainty. In experimental psychology, research questions are often addressed using Null Hypothesis Significance Testing (NHST), an approach ...