In the literature, machine learning (ML) and artificial intelligence (AI) applications tend to
start with examples that are irrelevant to process engineers (eg classification of images …

Reliability-based design optimization (RBDO) is one of the most crucial techniques in
complex and reliability-critical engineering systems. This has been a research hotspot over …

Purpose The purpose of this study is to make property price forecasts for the Chinese
housing market that has grown rapidly in the last 10 years, which is an important concern for …

The real estate market in China has been growing rapidly during the past decade, with
different property price patterns across various regions. Among different types of properties …

The proximal gradient algorithm for minimizing the sum of a smooth and nonsmooth convex
function often converges linearly even without strong convexity. One common reason is that …

Information theory and inference, often taught separately, are here united in one entertaining
textbook. These topics lie at the heart of many exciting areas of contemporary science and …

Motivated by a computer experiment for the design of a rocket booster, this article explores
nonstationary modeling methodologies that couple stationary Gaussian processes with …

During the last decade, the Chinese housing market has seen fast expansion, and the
importance of housing price forecasts has surely increased, becoming an essential problem …

We often desire our models to be interpretable as well as accurate. Prior work on optimizing
models for interpretability has relied on easy-to-quantify proxies for interpretability, such as …

Machine learning methods originated from artificial intelligence and are now used in various
fields in environmental sciences today. This is the first single-authored textbook providing a …