Trending Research
WeConvene: Learned Image Compression with Wavelet-Domain Convolution and Entropy Model
fengyurenpingsheng/WeConvene
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The channel-wise entropy coding is further used in each step.
Applications
causalBETA: An R Package for Bayesian Semiparametric Causal Inference with Event-Time Outcomes
Observational studies are often conducted to estimate causal effects of treatments or exposures on event-time outcomes.
Methodology Applications
A large-scale analysis of racial disparities in police stops across the United States
We find that black drivers are stopped more often than white drivers relative to their share of the driving-age population, but that Hispanic drivers are stopped less often than whites.
Applications
ruptures: change point detection in Python
ruptures is a Python library for offline change point detection.
Computation Mathematical Software
Estimating Treatment Effect Heterogeneity in Psychiatry: A Review and Tutorial with Causal Forests
Flexible machine learning tools are increasingly used to estimate heterogeneous treatment effects.
Applications
Validating Bayesian Inference Algorithms with Simulation-Based Calibration
Verifying the correctness of Bayesian computation is challenging.
Methodology
MAGI: A Package for Inference of Dynamic Systems from Noisy and Sparse Data via Manifold-constrained Gaussian Processes
The user may choose to use the package in any of the R, MATLAB, and Python environments.
Computation
The Building Data Genome Project 2: Hourly energy meter data from the ASHRAE Great Energy Predictor III competition
This paper describes an open data set of 3, 053 energy meters from 1, 636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17, 544 measurements per meter resulting in approximately 53. 6 million measurements).
Applications
Reliability modeling and statistical analysis of accelerated degradation process with memory effects and unit-to-unit variability
The unit-to-unit variability is considered in the acceleration model to describe diverse degradation paths.
Applications
RITHMS : An advanced stochastic framework for the simulation of transgenerational hologenomic data
Our approach, an R Implementation of a Transgenerational Hologenomic Model-based Simulator (RITHMS) is an open-source package, builds upon the MoBPS package and incorporates distinctive characteristics of the microbiota, notably vertical and horizontal transmission as well as modulation due to the environment and host genetics.
Methodology
