multivariate regression matlab mvregress Search Results


mvregress function  (MathWorks Inc)
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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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mvregress  (MathWorks Inc)
90
MathWorks Inc 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.
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/mvregress/product/MathWorks Inc
Average 90 stars, based on 1 article reviews
mvregress - by Bioz Stars, 2026-04
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glmfit function  (MathWorks Inc)
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MathWorks Inc glmfit function
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.
Glmfit 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 linear regression analysis  (MathWorks Inc)
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MathWorks Inc multivariate linear regression analysis
<t>MLRA</t> regression coefficients (SI) in isotropic case (a-i) and gradient case (j-r). The columns refer to the key parameter α, K, T d , T m . The rows refer to the output of interest: a , j) core cell number; b , k) migrated cell number; c , l) number of cells migrated toward East; d , m) number of cells migrated toward South; e , n) number of cells migrated toward West; f , o) core cell percentage; g , p) percentage of cells migrated toward East; h , q) percentage of cells migrated toward South; i , r) percentage of cells migrated toward West. The asterisk indicates which parameter is significance (p<0.05) for the related output.
Multivariate Linear Regression Analysis, 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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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:

MLRA regression coefficients (SI) in isotropic case (a-i) and gradient case (j-r). The columns refer to the key parameter α, K, T d , T m . The rows refer to the output of interest: a , j) core cell number; b , k) migrated cell number; c , l) number of cells migrated toward East; d , m) number of cells migrated toward South; e , n) number of cells migrated toward West; f , o) core cell percentage; g , p) percentage of cells migrated toward East; h , q) percentage of cells migrated toward South; i , r) percentage of cells migrated toward West. The asterisk indicates which parameter is significance (p<0.05) for the related output.

Journal: bioRxiv

Article Title: Hybrid Cellular Automata Modelling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth

doi: 10.1101/2023.10.19.563082

Figure Lengend Snippet: MLRA regression coefficients (SI) in isotropic case (a-i) and gradient case (j-r). The columns refer to the key parameter α, K, T d , T m . The rows refer to the output of interest: a , j) core cell number; b , k) migrated cell number; c , l) number of cells migrated toward East; d , m) number of cells migrated toward South; e , n) number of cells migrated toward West; f , o) core cell percentage; g , p) percentage of cells migrated toward East; h , q) percentage of cells migrated toward South; i , r) percentage of cells migrated toward West. The asterisk indicates which parameter is significance (p<0.05) for the related output.

Article Snippet: A Multivariate Linear Regression Analysis (MLRA) was performed using the builtin MATLAB function mvregress on whole set of samples to obtain the linear regression coefficients for each parameter.

Techniques: