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   Articles with "multivariate" as a keyword



Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis

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recommendations! Published in 2018 at "JAMA Psychiatry"

DOI: 10.1001/jamapsychiatry.2017.4741

Abstract: Importance Alterations in multiple neuroimaging phenotypes have been reported in psychotic disorders. However, neuroimaging measures can be influenced by factors that are not directly related to psychosis and may confound the interpretation of case-control differences.… read more here.

Keywords: patients psychosis; use; multivariate; association ... See more keywords

High‐yield recombinant adeno‐associated viral vector production by multivariate optimization of bioprocess and transfection conditions

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recommendations! Published in 2024 at "Biotechnology Progress"

DOI: 10.1002/btpr.3445

Abstract: Recombinant adeno‐associated viral vectors (rAAVs) are one of the most used vehicles for gene therapy, with five rAAV therapeutics commercially approved by the FDA. To improve product yield, we optimized the suspension production process of… read more here.

Keywords: multivariate; recombinant adeno; vector; yield ... See more keywords
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Near‐infrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems

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recommendations! Published in 2020 at "Journal of Chemometrics"

DOI: 10.1002/cem.3274

Abstract: It is challenging to achieve consistent quantification of hydrogen‐bonded water species by fitting Gaussian bands on spectra collected from different instruments, especially when the spectral resolution is low. Therefore, this work aims to propose a… read more here.

Keywords: hydrogen bonded; hydrogen; multivariate; near infrared ... See more keywords

Analytical Figures of Merit in Univariate, Multivariate, and Multiway Calibration: What Have We Learned? What Do We Still Need to Learn?

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recommendations! Published in 2024 at "Journal of Chemometrics"

DOI: 10.1002/cem.3613

Abstract: An overview of the status of the research in analytical figures of merit is provided, including all calibration scenarios from univariate to multivariate and multiway analytical protocols. Both linear and nonlinear multivariate models are considered.… read more here.

Keywords: multivariate; univariate multivariate; multivariate multiway; figures merit ... See more keywords

Extended Multivariate EGARCH Model: A Model for Zero‐Return and Negative Spillovers

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recommendations! Published in 2024 at "Journal of Forecasting"

DOI: 10.1002/for.3243

Abstract: This paper introduces an extended multivariate EGARCH model that overcomes the zero‐return problem and allows for negative news and volatility spillover effects, making it an attractive tool for multivariate volatility modeling. Despite limitations, such as… read more here.

Keywords: multivariate; extended multivariate; multivariate egarch; egarch model ... See more keywords

Bayesian Semiparametric Multivariate Realized GARCH Modeling

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recommendations! Published in 2025 at "Journal of Forecasting"

DOI: 10.1002/for.3285

Abstract: This paper introduces a novel Bayesian semiparametric multivariate GARCH framework for modeling returns and realized covariance, as well as approximating their joint unknown conditional density. We extend existing parametric multivariate realized GARCH models by incorporating… read more here.

Keywords: multivariate; semiparametric multivariate; garch; bayesian semiparametric ... See more keywords

On assessing calibration of multivariate ensemble forecasts

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recommendations! Published in 2017 at "Quarterly Journal of the Royal Meteorological Society"

DOI: 10.1002/qj.2906

Abstract: A necessary condition for optimal use in decision making of probability forecasts in general, and ensemble forecasts in particular, is that they should be calibrated. Ensemble calibration implies that each observation is statistically indistinguishable from… read more here.

Keywords: miscalibration; multivariate ensemble; assessing calibration; multivariate ... See more keywords

Multivariate Adjustments for Average Equivalence Testing

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recommendations! Published in 2024 at "Statistics in Medicine"

DOI: 10.1002/sim.10258

Abstract: Multivariate (average) equivalence testing is widely used to assess whether the means of two conditions of interest are “equivalent” for different outcomes simultaneously. In pharmacological research for example, many regulatory agencies require the generic product… read more here.

Keywords: multivariate; equivalence testing; average equivalence; multivariate alpha ... See more keywords
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Generalized finite mixture of multivariate regressions with applications to therapeutic biomarker identification.

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recommendations! Published in 2020 at "Statistics in medicine"

DOI: 10.1002/sim.8726

Abstract: Finite mixtures of regressions have been used to analyze data that come from a heterogeneous population. When more than one response is observed, accommodating a multivariate response can be useful. In this article, we go… read more here.

Keywords: mixture multivariate; generalized finite; multivariate regressions; multivariate ... See more keywords

Hierarchical multivariate directed acyclic graph autoregressive models for spatial diseases mapping

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9404

Abstract: Disease mapping is an important statistical tool used by epidemiologists to assess geographic variation in disease rates and identify lurking environmental risk factors from spatial patterns. Such maps rely upon spatial models for regionally aggregated… read more here.

Keywords: disease; acyclic graph; hierarchical multivariate; multivariate ... See more keywords

Boosting multivariate structured additive distributional regression models

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recommendations! Published in 2022 at "Statistics in Medicine"

DOI: 10.1002/sim.9699

Abstract: We develop a model‐based boosting approach for multivariate distributional regression within the framework of generalized additive models for location, scale, and shape. Our approach enables the simultaneous modeling of all distribution parameters of an arbitrary… read more here.

Keywords: distributional regression; boosting multivariate; multivariate; response ... See more keywords