دانلود کتاب فرآیندهای نقطه‌ای فضا-زمان، یک دوره آمار کاربردی

This book is meant to accompany a one-semester course in point processes, either at the graduate or undergraduate level, for students focused primarily on applied statistics and data science. The goal is to educate and train students in the practical aspects of the summary, description, and forecasting of spatial-temporal point process data. While very thorough treatments of the theoretical aspects of point processes already exist, this book’s aim is to summarize the main issues in the practical applications associated with space-time point processes. In particular, some of the questions addressed in this book are: -How can one summarize space-time point process data? -How are space-time point processes modeled? -How can one use a space-time point process model to forecast the probability of future events? -What are the different ways of estimating parameters in space-time point process models, and how do they compare? -How can space-time point process models be estimated nonparametrically? -What techniques exist for assessing how well a space-time point process model fits to data, or for comparing the _it of multiple models?