multivariate regression models mvregress function Search Results


mvregress function  (MathWorks Inc)
90
MathWorks Inc mvregress function
Mvregress Function, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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multivariate regression matlab mvregress  (MathWorks Inc)
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MathWorks Inc multivariate regression matlab mvregress
A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
Multivariate Regression Matlab Mvregress, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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Average 90 stars, based on 1 article reviews
multivariate regression matlab mvregress - by Bioz Stars, 2026-04
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meta mvregress  (STATA Corporation)
90
STATA Corporation meta mvregress
A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
Meta Mvregress, supplied by STATA Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/meta mvregress/product/STATA Corporation
Average 90 stars, based on 1 article reviews
meta mvregress - by Bioz Stars, 2026-04
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multivariate linear regression function mvregress  (MathWorks Inc)
90
MathWorks Inc multivariate linear regression function mvregress
A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using <t>multivariate</t> regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.
Multivariate Linear Regression Function Mvregress, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/multivariate linear regression function mvregress/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
multivariate linear regression function mvregress - by Bioz Stars, 2026-04
90/100 stars
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A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using multivariate regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.

Journal: PLOS Computational Biology

Article Title: Estimating neuronal firing density: A quantitative analysis of firing rate map algorithms

doi: 10.1371/journal.pcbi.1011763

Figure Lengend Snippet: A-F) For each mapping method, the Pareto-front of optimal parameter combinations for all tested recording durations. Circled is the parameter combination selected as the most balanced. In addition to computation time and overall map error (MISE), which are plotted here, Pareto-optimization also sought to minimize the proportion of empty bins and place field detection errors. Insets show the relationship between average field radius, recording duration and balanced bin size (top) or smoothing (bottom) parameters, determined using multivariate regression. The exact regression fits can be seen in in addition to the fits for the parameters associated with the minimum error.

Article Snippet: To quantify this relationship, we used multivariate regression (MATLAB mvregress ); the effect of recording duration and firing field size on the balanced bin size and smoothing strength can be seen in (insets).

Techniques: