The idea for this book came from the time the authors spent at the Statistics and Applied
Mathematical Sciences Institute (SAMSI) in Research Triangle Park in North Carolina …

Our goal is to automatically identify which species of bird is present in an audio recording
using supervised learning. Devising effective algorithms for bird species classification is a …

When correlation is measured in the presence of noise, its value is decreased. In single-
neuron recording experiments, for example, the correlation of selectivity indices in a pair of …

We study the identification of panel models with linear individual-specific coefficients, when
T is fixed. We show identification of the variance of the effects under conditional …

In this work we introduce a new method for performing computations on arbitrarily distributed
random variables. Concisely, the probability distributions of input random variables are …

Scoring rules assess the quality of probabilistic forecasts, by assigning a numerical score
based on the predictive distribution and on the event or value that materializes. A scoring …

Single molecule force spectroscopy (SMFS) is extensively used to characterize the
mechanical unfolding behavior of individual protein domains under applied force by pulling …

Barabási-Albert random graph models are a class of evolving random graphs that are
frequently used to model social networks with scale-free degree distributions. It has been …

We will discuss a problem pertinent to many situations in which a statistical model is
developed on a sample of individuals (describing their trajectories), but then it is applied on …

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