Search research articles

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

Related Concept Videos

Survival Tree

Survival Tree

Survival trees are a non-parametric method used in survival analysis to model the relationship between a set of covariates and the time until an event of interest occurs, often referred to as the "time-to-event" or "survival time." This method is particularly useful when dealing with censored data, where the event has not occurred for some individuals by the end of the study period, or when the exact time of the event is unknown.
Building a Survival Tree
Constructing a survival tree begins...

Multicompartment Models: Overview

Multicompartment Models: Overview

Multicompartment models are mathematical constructs that depict how drugs are distributed and eliminated within the body. They segment the body into several compartments, symbolizing various physiological or anatomical areas connected through drug transfer processes such as absorption, metabolism, distribution, and elimination.
These models offer a more comprehensive representation of drug behavior in the body than one-compartment models. They accommodate the complexity of drug distribution,...

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

Mechanistic models play a crucial role in algorithms for numerical problem-solving, particularly in nonlinear mixed effects modeling (NMEM). These models aim to minimize specific objective functions by evaluating various parameter estimates, leading to the development of systematic algorithms. In some cases, linearization techniques approximate the model using linear equations.
In individual population analyses, different algorithms are employed, such as Cauchy's method, which uses a...

Binomial Probability Distribution

Binomial Probability Distribution

A binomial distribution is a probability distribution for a procedure with a fixed number of trials, where each trial can have only two outcomes.
The outcomes of a binomial experiment fit a binomial probability distribution. A statistical experiment can be classified as a binomial experiment if the following conditions are met:
There are a fixed number of trials. Think of trials as repetitions of an experiment. The letter n denotes the number of trials.
There are only two possible outcomes,...

Phylogenetic Trees

Phylogenetic Trees

Phylogenetic trees come in many forms. It matters in which sequence the organisms are arranged from the bottom to the top of the tree, but the branches can rotate at their nodes without altering the information. The lines connecting individual nodes can be straight, angled, or even curved.The length of the branches can depict time or the relative amount of change among organisms. For instance, the branch length might indicate the number of amino acid changes in the sequence that underlies the...

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic Models: Compartment Models in Individual and Population Analysis

Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least squares (OLS)...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Does insulin bolster antioxidant defenses via the extracellular signal-regulated kinases-protein kinase B-nuclear factor erythroid 2 p45-related factor 2 pathway?

Antioxidants & redox signaling·2011

Same author

Mechanisms and functions of Tet protein-mediated 5-methylcytosine oxidation.

Genes & development·2011

Same author

Decrease in calcium-sensing receptor in the progress of diabetic cardiomyopathy.

Diabetes research and clinical practice·2011

Same author

JAMIE: A software tool for jointly analyzing multiple ChIP-chip experiments.

Methods in molecular biology (Clifton, N.J.)·2011

Same author

Morphine-induced conditioned place preference in mice: metabolomic profiling of brain tissue to find "molecular switch" of drug abuse by gas chromatography/mass spectrometry.

Analytica chimica acta·2011

Same author

[The interventions effect-assessment of the workers exposed to N, N-dimethylformamide by percutaneous in a synthetic leather factory].

Zhonghua lao dong wei sheng zhi ye bing za zhi = Zhonghua laodong weisheng zhiyebing zazhi = Chinese journal of industrial hygiene and occupational diseases·2011

Same journal

Corrigendum to "An entropy model of decision uncertainty" [Journal of Mathematical Psychology 125 (2025), 102919].

Journal of mathematical psychology·2025

Same journal

An entropy model of decision uncertainty.

Journal of mathematical psychology·2025

Same journal

How do people build up visual memory representations from sensory evidence? Revisiting two classic models of choice.

Journal of mathematical psychology·2024

Same journal

Experiment-based calibration in psychology: Optimal design considerations.

Journal of mathematical psychology·2024

Same journal

Expressions for Bayesian confidence of drift diffusion observers in fluctuating stimuli tasks.

Journal of mathematical psychology·2024

Same journal

A Statistical Foundation for Derived Attention.

Journal of mathematical psychology·2023

See all related articles

Search research articles

Related Experiment Video

Updated: Jun 12, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

On the Minimum Description Length Complexity of Multinomial Processing Tree Models.

Hao Wu¹, Jay I Myung, William H Batchelder

¹The Ohio State University.

Journal of Mathematical Psychology

|June 2, 2010

Summary

This summary is machine-generated.

Multinomial processing tree (MPT) modeling complexity is influenced by both parameter count and functional form. This study analyzes how MPT model structure impacts complexity using the minimum description length approach.

Related Experiment Videos

Last Updated: Jun 12, 2026

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Large-scale Reconstructions and Independent, Unbiased Clustering Based on Morphological Metrics to Classify Neurons in Selective Populations

Published on: February 15, 2017

Area of Science:

Cognitive Science
Psychological Methods
Statistical Modeling

Background:

Multinomial processing tree (MPT) models are established statistical tools for cognitive process measurement.
Model complexity is crucial for selecting appropriate quantitative models and preventing overfitting.
Both parameter count and functional form significantly affect model complexity.

Purpose of the Study:

To investigate the impact of functional form on the complexity of MPT models.
To extend the understanding of MPT model complexity beyond parameter count.
To analyze MPT model complexity from the minimum description length (MDL) perspective.

Main Methods:

Developed theoretical propositions on MPT model complexity based on functional form.
Utilized the minimum description length (MDL) framework for complexity evaluation.
Discussed computational aspects related to MPT model complexity.

Main Results:

Demonstrated that the functional form of MPT models is a significant determinant of model complexity.
Provided a formal framework for assessing complexity contributions from MPT model structure.
Established propositions linking MPT model structure to complexity.

Conclusions:

Functional form is a critical, yet often overlooked, factor in MPT model complexity.
The MDL viewpoint offers a robust method for evaluating MPT model complexity.
Understanding MPT complexity is essential for accurate cognitive process inference.