Trending Research

The Augmented Synthetic Control Method

ebenmichael/augsynth 23 Jul 2020

Analogous to bias correction for inexact matching, Augmented SCM uses an outcome model to estimate the bias due to imperfect pre-treatment fit and then de-biases the original SCM estimate.

Methodology Econometrics

147
0.03 stars / hour

Hierarchical Dynamic Modeling for Individualized Bayesian Forecasting

lavinei/forecasting 9 Jan 2021

Customer behavior is modeled at several levels of aggregation, and information flows from aggregate to individual levels.

Methodology

112
0.03 stars / hour

Bayesian Chain Graph LASSO Models to Learn Sparse Microbial Networks with Predictors

YunyiShen/CAR-LASSO 15 Dec 2020

Microbiome data require statistical models that can simultaneously decode microbes' reaction to the environment and interactions among microbes.

Applications Methodology 62H10, 62P10

19
0.03 stars / hour

NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring

nilmtk/nilmtk 15 Apr 2014

We demonstrate the range of reproducible analyses which are made possible by our toolkit, including the analysis of six publicly available data sets and the evaluation of both benchmark disaggregation algorithms across such data sets.

Applications

837
0.02 stars / hour

PyDMD: A Python package for robust dynamic mode decomposition

pydmd/pydmd 12 Feb 2024

The method's linear algebra-based formulation additionally allows for a variety of optimizations and extensions that make the algorithm practical and viable for real-world data analysis.

Computation Systems and Control Systems and Control Dynamical Systems Computational Physics

887
0.02 stars / hour

Poisson multi-Bernoulli mixture filter with general target-generated measurements and arbitrary clutter

Agarciafernandez/MTT 24 Oct 2022

This paper shows that the Poisson multi-Bernoulli mixture (PMBM) density is a multi-target conjugate prior for general target-generated measurement distributions and arbitrary clutter distributions.

Applications Systems and Control Systems and Control

115
0.02 stars / hour

Exploring multi-dimensional spaces: a Comparison of Latin Hypercube and Quasi Monte Carlo Sampling Techniques

c-bata/goptuna 10 May 2015

The methods compared are Monte Carlo with pseudo-random numbers, Latin Hypercube Sampling, and Quasi Monte Carlo with sampling based on Sobol sequences.

Applications Computation

260
0.01 stars / hour

Evaluation of wait time saving effectiveness of triage algorithms

didsr/qucad 13 Mar 2023

However, as CADt devices become more common in clinical workflows, there is still a lack of quantitative methods to evaluate a device's effectiveness in saving patients' waiting times.

Applications

4
0.01 stars / hour

An Automatic Finite-Sample Robustness Metric: When Can Dropping a Little Data Make a Big Difference?

rgiordan/zaminfluence 30 Nov 2020

We find that sensitivity is driven by a signal-to-noise ratio in the inference problem, is not reflected in standard errors, does not disappear asymptotically, and is not due to misspecification.

Methodology Econometrics

95
0.01 stars / hour

Asgl: A Python Package for Penalized Linear and Quantile Regression

alvaromc317/asgl 31 Oct 2021

Asg is a Python package that solves penalized linear regression and quantile regression models for simultaneous variable selection and prediction, for both high and low dimensional frameworks.

Computation

80
0.01 stars / hour