Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving01:29

Mechanistic Models: Compartment Models in Algorithms for Numerical Problem Solving

200
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...
200
Residuals and Least-Squares Property01:11

Residuals and Least-Squares Property

8.7K
The vertical distance between the actual value of y and the estimated value of y. In other words, it measures the vertical distance between the actual data point and the predicted point on the line
If the observed data point lies above the line, the residual is positive, and the line underestimates the actual data value for y. If the observed data point lies below the line, the residual is negative, and the line overestimates the actual data value for y.
The process of fitting the best-fit...
8.7K
One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation01:24

One-Compartment Open Model: Wagner-Nelson and Loo Riegelman Method for ka Estimation

989
This lesson introduces two critical methods in pharmacokinetics, the Wagner-Nelson and Loo-Riegelman methods, used for estimating the absorption rate constant (ka) for drugs administered via non-intravenous routes. The Wagner-Nelson method relates ka to the plasma concentration derived from the slope of a semilog percent unabsorbed time plot. However, it is limited to drugs with one-compartment kinetics and can be impacted by factors like gastrointestinal motility or enzymatic degradation.
On...
989
Model Approaches for Pharmacokinetic Data: Distributed Parameter Models01:06

Model Approaches for Pharmacokinetic Data: Distributed Parameter Models

190
Pharmacokinetic models are mathematical constructs that represent and predict the time course of drug concentrations in the body, providing meaningful pharmacokinetic parameters. These models are categorized into compartment, physiological, and distributed parameter models.
The distributed parameter models are specifically designed to account for variations and differences in some drug classes. This model is particularly useful for assessing regional concentrations of anticancer or...
190
Quadratic Models01:23

Quadratic Models

95
Quadratic models are mathematical representations used to describe relationships in which the rate of change changes at a constant rate. These models appear in a wide variety of natural and engineered systems, especially those involving motion, forces, and optimization. One common application is analyzing the vertical motion of objects influenced by gravity, such as a ball thrown into the air.In such scenarios, the object's height changes over time in a curved pattern, rising to a maximum point...
95
Survival Tree01:19

Survival Tree

295
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...
295

You might also read

Related Articles

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

Sort by
Same author

Dual-Hit Myopia Mechanism Unveiled by Multi-Omics: Opn1mw Deficiency Primed the Retina for Exaggerated Response to Environmental Defocus.

Investigative ophthalmology & visual science·2026
Same author

Okra eyelid patch versus sodium hyaluronate combined with ofloxacin eye drop in the treatment of meibomian gland dysfunction: a randomized controlled trial.

BMC ophthalmology·2026
Same author

Experimental Evaluation of Reducing Water Cut and Increasing Oil Recovery Using Multiphase Mixed Fluid.

ACS omega·2026
Same author

DSPFusion: Image Fusion via Degradation and Semantic Dual-Prior Guidance.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same author

Context-dependent roles of lncRNA JPX in human cancers.

Discover oncology·2026
Same author

Analysis of drug-induced pulmonary embolism risk based on the Food and Drug Administration Adverse Event Reporting System database.

Journal of thoracic disease·2026

Related Experiment Video

Updated: Dec 8, 2025

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
04:35

Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

Published on: July 3, 2020

3.6K

Deterministic Model Fitting by Local-neighbor Preservation and Global-residual Optimization.

Guobao Xiao, Jiayi Ma, Shiping Wang

    IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society
    |September 17, 2020
    PubMed
    Summary

    This study introduces a fast, deterministic model fitting method (LGF) for noisy, multi-structure data. It ensures consistent solutions, improving accuracy and speed in computer vision tasks.

    More Related Videos

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.8K

    Related Experiment Videos

    Last Updated: Dec 8, 2025

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach
    04:35

    Development of an Individual-Tree Basal Area Increment Model using a Linear Mixed-Effects Approach

    Published on: July 3, 2020

    3.6K
    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments
    08:12

    A Psychophysics Paradigm for the Collection and Analysis of Similarity Judgments

    Published on: March 1, 2022

    2.8K

    Area of Science:

    • Computer Vision
    • Geometric Model Fitting

    Background:

    • Geometric model fitting is crucial for computer vision but struggles with noisy, multi-structural data.
    • Existing methods often lack solution consistency due to randomness, limiting real-world applicability.

    Purpose of the Study:

    • To propose a fast, approximately deterministic model fitting scheme (LGF) for consistent solutions.
    • To develop a model selection framework for estimating model instances.

    Main Methods:

    • LGF defines a preference function preserving local neighborhood relationships.
    • It employs min-hash for efficient subset sampling, covering the parameter space.
    • Global residual optimization refines sampled subsets.

    Main Results:

    • LGF provides consistent solutions for multi-structural data.
    • The method demonstrates superior or competitive accuracy and speed compared to state-of-the-art techniques.
    • Experiments on real images validate the scheme's effectiveness.

    Conclusions:

    • The proposed LGF scheme offers a robust and efficient solution for geometric model fitting.
    • It addresses the limitations of existing methods in handling noisy and complex data.
    • The LGF scheme is highly suitable for real-world computer vision applications.