Trending Research
ruptures: change point detection in Python
ruptures is a Python library for offline change point detection.
Computation Mathematical Software
Estimating Fold Changes from Partially Observed Outcomes with Applications in Microbial Metagenomics
We consider the problem of estimating fold-changes in the expected value of a multivariate outcome that is observed subject to unknown sample-specific and category-specific perturbations.
Methodology Applications
Generalized Stability Approach for Regularized Graphical Models
Selecting regularization parameters in penalized high-dimensional graphical models in a principled, data-driven, and computationally efficient manner continues to be one of the key challenges in high-dimensional statistics.
Methodology Molecular Networks Applications Computation
Introducing longitudinal modified treatment policies: a unified framework for studying complex exposures
This tutorial discusses a recently developed methodology for causal inference based on longitudinal modified treatment policies (LMTPs).
Methodology Applications Other Statistics
Peeking Inside the Black Box: Visualizing Statistical Learning with Plots of Individual Conditional Expectation
This article presents Individual Conditional Expectation (ICE) plots, a tool for visualizing the model estimated by any supervised learning algorithm.
Applications
Estimating Psychological Networks and their Accuracy: A Tutorial Paper
Finally, we developed the free R-package bootnet that allows for estimating psychological networks in a generalized framework in addition to the proposed bootstrap methods.
Applications Methodology
Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC
Leave-one-out cross-validation (LOO) and the widely applicable information criterion (WAIC) are methods for estimating pointwise out-of-sample prediction accuracy from a fitted Bayesian model using the log-likelihood evaluated at the posterior simulations of the parameter values.
Computation Methodology
Microcanonical Hamiltonian Monte Carlo
jakobrobnik/microcanonicalhmc
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We generalize the concept of bounces to a continuous version with partial direction preserving bounces at every step, which gives an energy conserving underdamped Langevin-like dynamics with non-Gaussian noise (MCLMC).
Computation Instrumentation and Methods for Astrophysics High Energy Physics - Lattice High Energy Physics - Theory
dynamite: An R Package for Dynamic Multivariate Panel Models
dynamite is an R package for Bayesian inference of intensive panel (time series) data comprising of multiple measurements per multiple individuals measured in time.
Methodology
Data-driven discovery of coordinates and governing equations
pietro-sillano/SindyPendulum
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The discovery of governing equations from scientific data has the potential to transform data-rich fields that lack well-characterized quantitative descriptions.
Other Statistics
