This classic textbook builds theoretical statistics from the first principles of probability theory.
Starting from the basics of probability, the authors develop the theory of statistical inference …

Multiple testing refers to the testing of more than one hypothesis at a time. It is a subfield of
the broader field of multiple inference, or simultaneous inference, which includes multiple …

Since the term “random? eld''has a variety of different connotations, ranging from agriculture
to statistical mechanics, let us start by clarifying that, in this book, a random? eld is a …

Multivariate normal and t probabilities are needed for statistical inference in many
applications. Modern statistical computation packages provide functions for the computation …

The decade prior to publication has seen an explosive growth in com-tational speed and
memory and a rapid enrichment in our understa-ing of arti? cial neural networks. These two …

Intersection graphs provide theory to underlie much of graph theory. They epitomize graph-
theoretic structure and have their own distinctive concepts and emphasis. They subsume …

Efficient algorithms are described for computing topological, combinatorial, and metric
properties of the union of finitely many balls in ℝd. These algorithms are based on a …

Use of logical constraints among hypotheses and correlations among test statistics can
greatly improve the power of step-down tests. An algorithm for uncovering these logically …

This is a rambling review of what, with a few notable and significant exceptions, has been a
rather dormant area for over a decade. It concentrates on the septuagenarian problem of …

Logic locking is a promising solution against emerging hardware security threats, which
entails protecting a Boolean circuit using a “keying” mechanism. The latest and hitherto …