Bayesian modeling

Inference of thermal preference profiles for personalized thermal environments with actual building occupants

In this paper we present a methodology to map individual occupants' thermal preference votes and indoor environmental variables into personalized preference models. Our modeling approach includes a new Bayesian classification and inference algorithm …

Inferring personalized visual satisfaction profiles in daylit offices from comparative preferences using a Bayesian approach

This paper presents a new method for developing personalized visual satisfaction profiles in private daylit offices using Bayesian inference. Unlike previous studies based on action data, a set of experiments with human subjects and changing visual …

Bayesian classification and inference of occupant visual preferences in daylit perimeter private offices

The objective of this paper is to understand the complex interactions related to visual environment control in private offices of perimeter building zones and to develop a new method for learning occupant visual preferences. In the first step of our …

A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings

This paper presents a new data-driven method for learning personalized thermal preference profiles, by formulating a combined classification and inference problem, without developing different models for each occupant. Different from existing …

A Bayesian modeling approach of human interactions with shading and electric lighting systems in private offices

In this paper, we present a hierarchical Bayesian approach to model human interactions with motorized roller shades and dimmable electric lights. At the top level of hierarchy, Bayesian multivariate binary-choice logit models predict the probability …