ComBatLS: A Location‐ and Scale‐Preserving Method for Multi‐Site Image Harmonization
Sign Up to like & getrecommendations! Published in 2024 at "Human Brain Mapping"
DOI: 10.1002/hbm.70197
Abstract: Recent work has leveraged massive datasets and advanced harmonization methods to construct normative models of neuroanatomical features and benchmark individuals’ morphology. However, current harmonization tools do not preserve the effects of biological covariates including sex… read more here.
Keywords: method; normative scores; harmonization; combatls location ... See more keywords
Defining R‐squared measures for mixed‐effects location scale models
Sign Up to like & getrecommendations! Published in 2022 at "Statistics in Medicine"
DOI: 10.1002/sim.9521
Abstract: Ecological momentary assessment and other modern data collection technologies facilitate research on both within‐subject and between‐subject variability of health outcomes and behaviors. For such intensively measured longitudinal data, Hedeker et al extended the usual two‐level… read more here.
Keywords: mixed effects; defining squared; measures mixed; squared measures ... See more keywords
Fast estimation of mixed‐effects location‐scale regression models
Sign Up to like & getrecommendations! Published in 2023 at "Statistics in Medicine"
DOI: 10.1002/sim.9679
Abstract: As a result of advances in data collection technology and study design, modern longitudinal datasets can be much larger than they historically have been. Such “intensive" longitudinal datasets are rich enough to allow for detailed… read more here.
Keywords: mixed effects; fast estimation; effects location; regression models ... See more keywords
Distributional regression modeling via generalized additive models for location, scale, and shape: An overview through a data set from learning analytics
Sign Up to like & getrecommendations! Published in 2022 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1479
Abstract: The advent of technological developments is allowing to gather large amounts of data in several research fields. Learning analytics (LA)/educational data mining has access to big observational unstructured data captured from educational settings and relies… read more here.
Keywords: additive models; generalized additive; scale shape; location scale ... See more keywords
Nonparametric location–scale model for the joint forecasting of $$\hbox {SO}_{{2}}$$ and $$\hbox {NO}_{{x}}$$ pollution episodes
Sign Up to like & getrecommendations! Published in 2020 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-020-01901-1
Abstract: We present a method to forecast pollution episodes with a bivariate response. The method simultaneously estimates the concentrations of two pollutants, using historical data. It is based on a location–scale model where the means and… read more here.
Keywords: location scale; pollution episodes; hbox hbox; model ... See more keywords
Partitioning the variability of daily emotion dynamics in dyadic interactions with a mixed-effects location scale model
Sign Up to like & getrecommendations! Published in 2017 at "Current Opinion in Behavioral Sciences"
DOI: 10.1016/j.cobeha.2017.05.005
Abstract: We examine the daily exchanges in affect and emotional experiences of individuals in dyads using a mixed-effects location scale model. We argue that this method is useful to characterize the daily fluctuations in emotions for… read more here.
Keywords: location scale; emotion dynamics; effects location; mixed effects ... See more keywords
R-estimation in semiparametric dynamic location-scale models
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Econometrics"
DOI: 10.1016/j.jeconom.2016.08.002
Abstract: We propose rank-based estimation (R-estimators) as an alternative to Gaussian quasi-likelihood and standard semiparametric estimation in time series models, where conditional location and/or scale depend on a Euclidean parameter of interest, while the unspecified innovation… read more here.
Keywords: estimation; location scale; estimation semiparametric; density ... See more keywords
Joint monitoring of location and scale for modern univariate processes
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Quality Technology"
DOI: 10.1080/00224065.2024.2369078
Abstract: Abstract Autocorrelated sequences of individual observations arise in many modern-day statistical process monitoring (SPM) applications. Often times, interest involves jointly monitoring both process location and scale. To jointly monitor autocorrelated individuals data, it is common… read more here.
Keywords: process; model; monitoring; location scale ... See more keywords
The combined dynamically weighted modified maximum likelihood estimators of the location and scale parameters
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2019.1571060
Abstract: ABSTRACT In this study, two new types of estimators of the location and scale parameters are proposed having high efficiency and robustness; the dynamically weighted modified maximum likelihood (DWMML) and the combined dynamically weighted modified… read more here.
Keywords: location scale; modified maximum; scale parameters; estimators location ... See more keywords
Joint modelling location and scale with the LTS estimation method
Sign Up to like & getrecommendations! Published in 2025 at "Journal of Statistical Computation and Simulation"
DOI: 10.1080/00949655.2024.2449112
Abstract: The joint modelling of location and scale presents significant challenges in regression, particularly in handling outliers and variance heterogeneity. Robust estimation methods are crucial in this context to ensure reliable analyses. This paper introduces a… read more here.
Keywords: location; joint modelling; modelling location; lts estimation ... See more keywords
Location-scale mixed models and goodness-of-fit assessment applied to insect ecology
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Applied Statistics"
DOI: 10.1080/02664763.2019.1693522
Abstract: Survival models have been extensively used to analyse time-until-event data. There is a range of extended models that incorporate different aspects, such as overdispersion/frailty, mixtures, and flexible response functions through semi-parametric models. In this work,… read more here.
Keywords: model; location scale; ecology; goodness fit ... See more keywords