Multivariate Associations Among Behavioral, Clinical, and Multimodal Imaging Phenotypes in Patients With Psychosis
Sign Up to like & getrecommendations! 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
Near‐infrared multivariate model transfer for quantification of different hydrogen bonding species in aqueous systems
Sign Up to like & getrecommendations! 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
On assessing calibration of multivariate ensemble forecasts
Sign Up to like & getrecommendations! 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
Generalized finite mixture of multivariate regressions with applications to therapeutic biomarker identification.
Sign Up to like & getrecommendations! 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
Sign Up to like & getrecommendations! 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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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
Prony’s Method Under an Almost Sharp Multivariate Ingham Inequality
Sign Up to like & getrecommendations! Published in 2017 at "Journal of Fourier Analysis and Applications"
DOI: 10.1007/s00041-017-9571-5
Abstract: The parameter reconstruction problem in a sum of Dirac measures from its low frequency trigonometric moments is well understood in the univariate case and has a sharp transition of identifiability with respect to the ratio… read more here.
Keywords: method almost; ingham inequality; multivariate; prony method ... See more keywords
Assessment of variogram reproduction in the simulation of decorrelated factors
Sign Up to like & getrecommendations! Published in 2021 at "Stochastic Environmental Research and Risk Assessment"
DOI: 10.1007/s00477-021-02005-0
Abstract: Multiple variables that are correlated should be jointly simulated and the resulting realizations should reproduce the experimental data statistics (i.e. histogram, variogram, correlation coefficients). Multivariate transforms such as principal component analysis (PCA), minimum/maximum autocorrelation factors… read more here.
Keywords: reproduction; usepackage; multivariate; experimental data ... See more keywords
Approximation by multivariate higher degree F-transform based on B-splines
Sign Up to like & getrecommendations! Published in 2017 at "Soft Computing"
DOI: 10.1007/s00500-017-2654-z
Abstract: The paper deals with the integral and discrete versions of the direct and inverse higher degree fuzzy transforms (F-transforms) of multivariate functions. The aim is to generalize to the multidimensional case the results known for… read more here.
Keywords: approximation multivariate; multivariate; multivariate higher; higher degree ... See more keywords
Multivariate multiscale increment entropy: a complexity measure for detecting flow pattern transition in multiphase flows
Sign Up to like & getrecommendations! Published in 2020 at "Nonlinear Dynamics"
DOI: 10.1007/s11071-020-05733-0
Abstract: Multivariate time series are routinely measured in real complex systems, and effective multivariate multiscale methods for uncovering the complexity of multivariate complex systems are certainly needed. In this paper, a new complexity measure for multiscale… read more here.
Keywords: multivariate; time series; multivariate time; complexity ... See more keywords
Multivariate locally stationary 2D wavelet processes with application to colour texture analysis
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DOI: 10.1007/s11222-016-9675-9
Abstract: In this article we propose a novel framework for the modelling of non-stationary multivariate lattice processes. Our approach extends the locally stationary wavelet paradigm into the multivariate two-dimensional setting. As such the framework we develop… read more here.
Keywords: multivariate locally; colour; multivariate; locally stationary ... See more keywords