Statistical applications in sports have long centered on how to best separate signal (e. g. team talent) from random noise.
Applications
Network data are increasingly available in various research fields, motivating statistical analysis for populations of networks where a network as a whole is viewed as a data point.
Methodology
Entity resolution (record linkage or deduplication) is the process of identifying and linking duplicate records in databases.
Methodology Databases
Our proposed approach, the hierarchical Dirichlet process latent position clustering model (HDP-LPCM), incorporates transitivity, models both individual and group level aspects of the data, and avoids the computationally expensive selection of the number of groups required by most popular methods.
Methodology
Indeed, to highlight the potentiality of dynamic OD matrices, we showcase some methods to perform anomaly detection of mobility trends in the network through such matrices and interpret them in light of events that happened in the last months of 2022.
Applications 62P30, 62-04, 62-08 G.3
A frequent problem in binary classification is class imbalance between a minority and a majority class such as defaults and non-defaults in default prediction.
Methodology
In this second monograph, we discuss several topics in RD methodology that build on and extend the analysis of RD designs introduced in Cattaneo, Idrobo and Titiunik (2020).
Methodology Econometrics Applications Computation
Structured additive regression provides a general framework for complex Gaussian and non-Gaussian regression models, with predictors comprising arbitrary combinations of nonlinear functions and surfaces, spatial effects, varying coefficients, random effects and further regression terms.
Methodology Applications
We introduce a software package, Pigeons. jl, that provides a way to leverage distributed computation to obtain samples from complicated probability distributions, such as multimodal posteriors arising in Bayesian inference and high-dimensional distributions in statistical mechanics.
Computation Distributed, Parallel, and Cluster Computing
One particularly useful extension of HMMs is the inclusion of covariates on those parameters, to investigate the drivers of state transitions or to implement Markov-switching regression models.
Methodology Computation
