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

Parametric Survival Analysis: Weibull and Exponential Methods01:14

Parametric Survival Analysis: Weibull and Exponential Methods

833
Parametric survival analysis models survival data by assuming a specific probability distribution for the time until an event occurs. The Weibull and exponential distributions are two of the most commonly used methods in this context, due to their versatility and relatively straightforward application.
Weibull Distribution
The Weibull distribution is a flexible model used in parametric survival analysis. It can handle both increasing and decreasing hazard rates, depending on its shape parameter...
833
Production Efficiency01:01

Production Efficiency

17.5K
Net production efficiency (NPE) is the efficiency at which organisms assimilate energy into biomass for the next trophic level. Due to low metabolic rates and less energy spent on thermoregulatory processes, the NPE of ectotherms (cold-blooded animals) is 10 times higher than endotherms (warm-blooded animals).
17.5K
Econometric Views (EViews)01:29

Econometric Views (EViews)

371
Econometric Views, often stylized as EViews, is a package that merges statistical analysis with econometric studies. It is designed to provide tools for time series analysis, forecasting, and econometric model simulation. The software originated from MicroTSP software and has evolved significantly since its inception in 1981. The history of EViews is marked by a continuous effort to enhance its computational speed and user interface. It was initially developed for large computing systems but...
371
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

155
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...
155
Survival Tree01:19

Survival Tree

250
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...
250
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

930
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...
930

You might also read

Related Articles

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

Sort by
Same author

Ferroelectricity in Dipolar Liquids: The Role of Annealed Positional Disorder.

The journal of physical chemistry. B·2026
Same author

α-Synuclein and γ-Tubulin Cooperatively Regulate Activity-Evoked Presynaptic Microtubule Nucleation to Gate Dopamine Release.

bioRxiv : the preprint server for biology·2026
Same author

Statistical Investigation and Optimization of Starch Cinnamylation: A Design of Experiment Approach.

ACS omega·2026
Same author

Simulation-Based Trajectory for Non-Planar Scaffold Printing on Irregular Patches Using Robotic Arm.

Bioengineering (Basel, Switzerland)·2026
Same author

Multiphoton Quantum Simulation of the Generalized Hopfield Memory Model.

Physical review letters·2026
Same author

Stabilized real-time Brillouin microscopy reveals fractal organization of protein condensates in living cells.

Nature communications·2026
Same journal

Research on a Regional Availability Evaluation Model for Road-Area High-Entropy Energy Based on Synergy Factors.

Entropy (Basel, Switzerland)·2026
Same journal

Atmospheric Turbulence Channel Modeling and Performance Analysis of a CO-ZP-OFDM Coherent Optical Communication System for UAV Air-to-Ground Scenarios.

Entropy (Basel, Switzerland)·2026
Same journal

Information Geometry and Asymptotic Theory for SMML Estimators.

Entropy (Basel, Switzerland)·2026
Same journal

Correlation Entropy and Power-Law Kinetics.

Entropy (Basel, Switzerland)·2026
Same journal

Research on the Contagion of Systemic Financial Risk Under the Impact of Climate Risks-From the Perspective of Complex Networks and Machine Learning.

Entropy (Basel, Switzerland)·2026
Same journal

The Statistical-Mechanical Meaning of the Wave Function of Quantum Mechanics.

Entropy (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Nov 25, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K

Reconstructing Nonparametric Productivity Networks.

Moriah B Bostian1, Cinzia Daraio2, Rolf Färe3,4

  • 1Department of Economics, Lewis and Clark College, Portland, OR 97219, USA.

Entropy (Basel, Switzerland)
|December 16, 2020
PubMed
Summary
This summary is machine-generated.

This study introduces a Bayesian framework to infer network structures in economic productivity analysis, improving upon Data Envelopment Analysis (DEA) limitations. The findings reveal significant cross-disciplinary research interactions, aiding targeted funding and strategic decision-making.

Keywords:
Bayesian statisticsGeorgesçu-Roegen flows and funds modeldata envelopment analysisentropygeneralized multicomponent Ising modelknowledge productionnetworks

More Related Videos

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
06:02

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters

Published on: December 16, 2022

2.2K
Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

614

Related Experiment Videos

Last Updated: Nov 25, 2025

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline
10:44

Inherent Dynamics Visualizer, an Interactive Application for Evaluating and Visualizing Outputs from a Gene Regulatory Network Inference Pipeline

Published on: December 7, 2021

2.5K
A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters
06:02

A Low-Cost Method of Measuring the In Situ Primary Productivity of Periphyton Communities of Lentic Waters

Published on: December 16, 2022

2.2K
Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management
05:04

Author Spotlight: Understanding Riverine Nitrogen Impacts and Primary Productivity for Effective Nutrient Management

Published on: July 14, 2023

614

Area of Science:

  • Economics
  • Network Science
  • Statistical Inference

Background:

  • Network models are widely used for economic productivity analysis, often estimated non-parametrically via Data Envelopment Analysis (DEA).
  • Existing network DEA models lack a robust statistical framework for inference, hindering a deep understanding of complex network dynamics.
  • The complexity of network processes in systems limits the inferential capabilities of current models.

Purpose of the Study:

  • To develop a general Bayesian framework for inferring network structures in economic systems.
  • To address the limitations of existing network DEA models by providing a statistical inference approach.
  • To estimate unobserved network linkages and understand the relationships driving system performance.

Main Methods:

  • Developed a general Bayesian framework integrating information science, machine learning, and statistical inference from complex systems physics.
  • Applied the framework to bibliometric data for world countries to analyze knowledge production, including own and cross-disciplinary research.
  • Estimated unobserved network linkages to infer the underlying network production technology.

Main Results:

  • Identified significant interactions between related disciplinary research outputs in terms of both quantity and quality.
  • Demonstrated the framework's ability to infer underlying network structures and linkages.
  • Found that cross-disciplinary research linkages are significant drivers of knowledge production.

Conclusions:

  • The developed Bayesian framework offers a systematic approach for inferring network structures and aids model selection when the network is unknown.
  • Results on cross-disciplinary research linkages can inform targeted research funding and institutional strategies.
  • The framework is broadly applicable to various settings with spillovers, including public and private sector decision-making and coordination.