hermiter: R package for Sequential Nonparametric Estimation

mikejareds/article_hermiter 28 Nov 2021

This article introduces the R package hermiter which facilitates estimation of univariate and bivariate probability density functions and cumulative distribution functions along with full quantile functions (univariate) and nonparametric correlation coefficients (bivariate) using Hermite series based estimators.

Computation

0
28 Nov 2021

Bayesian multistate modelling of incomplete chronic disease burden data

chjackson/disbayes 28 Nov 2021

The model is used to estimate case fatality for multiple diseases in the city regions of England, based on incidence, prevalence and mortality data from the Global Burden of Disease study.

Applications

1
28 Nov 2021

Let's practice what we preach: Planning and interpreting simulation studies with design and analysis of experiments

hughchipman/tablesasdesigns 26 Nov 2021

Statisticians recommend the Design and Analysis of Experiments (DAE) for evidence-based research but often use tables to present their own simulation studies.

Methodology 62K99 (Primary) 62K25 (Secondary)

0
26 Nov 2021

Online Causal Inference with Application to Near Real-Time Post-Market Vaccine Safety Surveillance

luolsph/onlinecausal 26 Nov 2021

In particular, our framework is robust to biased data batches in the sense that the proposed online estimator is asymptotically unbiased as long as the pooled data is a random sample of the target population regardless of whether each data batch is.

Methodology

0
26 Nov 2021

Machine learning assisted Bayesian model comparison: learnt harmonic mean estimator

astro-informatics/harmonic 24 Nov 2021

We present the learnt harmonic mean estimator, a variant of the original estimator that solves its large variance problem.

Methodology Instrumentation and Methods for Astrophysics Computation

5
24 Nov 2021

Coexchangeable process modelling for uncertainty quantification in joint climate reconstruction

astfalckl/exanalysis 24 Nov 2021

Whilst these boundary conditions are typically fixed using available reconstructions in climate modelling studies, they are highly uncertain, that uncertainty is unquantified, and the effect on the output of the experiment can be considerable.

Applications

0
24 Nov 2021

Parameter estimation and uncertainty quantification using information geometry

jesse-sharp/sharp2021b 24 Nov 2021

In this work we (1) review likelihood-based inference for parameter estimation and the construction of confidence regions, and (2) explore the use of techniques from information geometry, including geodesic curves and Riemann scalar curvature, to supplement typical techniques for uncertainty quantification such as Bayesian methods, profile likelihood, asymptotic analysis and bootstrapping.

Methodology Applications 62-08

0
24 Nov 2021

An Augmented Likelihood Approach for the Discrete Proportional Hazards Model Using Auxiliary and Validated Outcome Data -- with Application to HCHS/SOL Study

lboe23/augmentedlikelihood 24 Nov 2021

In large epidemiologic studies, self-reported outcomes are often used to record disease status more frequently than by gold standard diagnostic tests alone.

Methodology

0
24 Nov 2021

Binned multinomial logistic regression for integrative cell type annotation

keshav-motwani/ibmr 23 Nov 2021

Categorizing individual cells into one of many known cell type categories, also known as cell type annotation, is a critical step in the analysis of single-cell genomics data.

Applications

1
23 Nov 2021

spOccupancy: An R package for single species, multispecies, and integrated spatial occupancy models

doserjef/doser_etal_2021_spoccupancy 23 Nov 2021

The spOccupancy package provides a user-friendly approach to fit a variety of single and multispecies occupancy models, making it straightforward to address detection biases and spatial autocorrelation in species distribution models even for large data sets.

Applications

0
23 Nov 2021