Human spatial dynamics for electricity demand forecasting: the case of France during the 2022 energy crisis

nathandoumeche/mobility_data_assimilation 28 Sep 2023

Here, we show that mobility indices based on mobile network data significantly improve the performance of the state-of-the-art models in electricity demand forecasting during the sobriety period.

Applications

1
28 Sep 2023

Regularization and Model Selection for Item-on-Items Regression with Applications to Food Products' Survey Data

ahoshiyar/ordPens 28 Sep 2023

Ordinal data are quite common in applied statistics.

Methodology Applications

2
28 Sep 2023

Bounding and estimating MCMC convergence rates using common random number simulations

sixter/commonrandomnumber 27 Sep 2023

This paper explores how and when to use common random number (CRN) simulation to evaluate MCMC convergence rates.

Computation

0
27 Sep 2023

Separable effects for adherence

kerolloswanis/separable_effects_for_adherence 24 Sep 2023

However, when sustained use is challenging to satisfy in practice, the usefulness of this estimand can be limited.

Methodology Applications

0
24 Sep 2023

Targeted Learning on Variable Importance Measure for Heterogeneous Treatment Effect

haodongl/te_vim 23 Sep 2023

One can also derive variable importance parameters that measure (and rank) how much of treatment effect heterogeneity is explained by a targeted subset of covariates.

Methodology

0
23 Sep 2023

Policy Learning for Individualized Treatment Regimes on Infinite Time Horizon

liyuhan529/policy-learning-for-individulized-treatment-recommendation 23 Sep 2023

With the recent advancements of technology in facilitating real-time monitoring and data collection, "just-in-time" interventions can be delivered via mobile devices to achieve both real-time and long-term management and control.

Methodology

0
23 Sep 2023

Frequentist Inference for Semi-mechanistic Epidemic Models with Interventions

heejongbong/freqepid 19 Sep 2023

The effect of public health interventions on an epidemic are often estimated by adding the intervention to epidemic models.

Methodology Applications

0
19 Sep 2023

A New Bootstrap Goodness-of-Fit Test for Normal Linear Regression Models

shkoeneman/gof_manuscript 19 Sep 2023

In this work, the distributional properties of the goodness-of-fit term in likelihood-based information criteria are explored.

Methodology Applications

0
19 Sep 2023

Discovery and inference of a causal network with hidden confounding

chunlinli/grivet 18 Sep 2023

This article proposes a novel causal discovery and inference method called GrIVET for a Gaussian directed acyclic graph with unmeasured confounders.

Methodology

2
18 Sep 2023

Maximum-likelihood fits of piece-wise Pareto distributions with finite and non-zero core

benmaier/fincoretails 18 Sep 2023

We discuss multiple classes of piece-wise Pareto-like power law probability density functions $p(x)$ with two regimes, a non-pathological core with non-zero, finite values for support $0\leq x\leq x_{\mathrm{min}}$ and a power-law tail with exponent $-\alpha$ for $x>x_{\mathrm{min}}$.

Methodology Statistics Theory Data Analysis, Statistics and Probability Physics and Society Statistics Theory

0
18 Sep 2023