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Robust inference for nonlinear regression models

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0 Published in 2019 at "TEST"

DOI: 10.1007/s11749-017-0570-2

Abstract: A family of weighted estimators of the regression parameter under a nonlinear model is introduced. The proposed weighted estimators are computed through a four-step MM-procedure, and the given approach allows for possible missing responses. Under… read more here.

Keywords: robust inference; nonlinear regression; inference nonlinear; regression models ... See more keywords

Messy Data, Robust Inference? Navigating Obstacles to Inference with bigKRLS

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2 Published in 2018 at "Political Analysis"

DOI: 10.1017/pan.2018.33

Abstract: Complex models are of increasing interest to social scientists. Researchers interested in prediction generally favor flexible, robust approaches, while those interested in causation are often interested in modeling nuanced treatment structures and confounding relationships. Unfortunately,… read more here.

Keywords: messy data; data robust; robust inference; navigating obstacles ... See more keywords

Robust inference for parsimonious model-based clustering

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0 Published in 2018 at "Journal of Statistical Computation and Simulation"

DOI: 10.1080/00949655.2018.1554659

Abstract: ABSTRACT We introduce a robust clustering procedure for parsimonious model-based clustering. The classical mclust framework is robustified through impartial trimming and eigenvalue-ratio constraints (the tclust framework, which is robust but not affine invariant). An advantage… read more here.

Keywords: model based; parsimonious model; robust inference; model ... See more keywords

Robust inference in the multilevel zero-inflated negative binomial model

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0 Published in 2019 at "Journal of Applied Statistics"

DOI: 10.1080/02664763.2019.1636942

Abstract: ABSTRACT A popular way to model correlated count data with excess zeros and over-dispersion simultaneously is by means of the multilevel zero-inflated negative binomial (MZINB) distribution. Due to the complexity of the likelihood of these… read more here.

Keywords: robust inference; zero inflated; model; multilevel zero ... See more keywords

Accurate and robust inference of microbial growth dynamics from metagenomic sequencing reveals personalized growth rates

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1 Published in 2022 at "Genome Research"

DOI: 10.1101/gr.275533.121

Abstract: Patterns of sequencing coverage along a bacterial genome—summarized by a peak-to-trough ratio (PTR)—have been shown to accurately reflect microbial growth rates, revealing a new facet of microbial dynamics and host–microbe interactions. Here, we introduce Compute… read more here.

Keywords: microbial growth; inference microbial; accurate robust; growth rates ... See more keywords

Robust Inference Based On the Complementary Hamiltonian Monte Carlo

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1 Published in 2022 at "IEEE Transactions on Reliability"

DOI: 10.1109/tr.2021.3117189

Abstract: The article aims to explore certain reliability probability models using a Hamiltonian Monte Carlo (HMC) sampler. There are some concerns with the classic HMC samplers. A notable aspect of the method comes from its acceptance… read more here.

Keywords: robust inference; probability; monte carlo; hamiltonian monte ... See more keywords

Robust inference of positive selection on regulatory sequences in the human brain

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0 Published in 2020 at "Science Advances"

DOI: 10.1126/sciadv.abc9863

Abstract: A new method provides evidence that evolution of gene activity in the human brain was driven by natural selection. A longstanding hypothesis is that divergence between humans and chimpanzees might have been driven more by… read more here.

Keywords: evolution; positive selection; robust inference; human brain ... See more keywords

Robust Inference of Genetic Exchange Communities from Microbial Genomes Using TF-IDF

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1 Published in 2017 at "Frontiers in Microbiology"

DOI: 10.3389/fmicb.2017.00021

Abstract: Bacteria and archaea can exchange genetic material across lineages through processes of lateral genetic transfer (LGT). Collectively, these exchange relationships can be modeled as a network and analyzed using concepts from graph theory. In particular,… read more here.

Keywords: communities microbial; exchange communities; genetic exchange; robust inference ... See more keywords