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

pV-Diagrams01:18

pV-Diagrams

4.1K
The pV diagram, which is a graph of pressure versus volume of the gas under study, is helpful in describing certain aspects of the substance. When the substance behaves like an ideal gas, the ideal gas equation describes the relationship between its pressure and volume. On a pV diagram, it is common to plot an isotherm, which is a curve showing p as a function of V with the number of molecules and the temperature fixed. Then, for an ideal gas, the product of the pressure of the gas and its...
4.1K
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

476
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...
476
Law of Independent Assortment02:03

Law of Independent Assortment

55.6K
While Mendel’s Law of Segregation states that the two alleles for one gene are separated into different gametes, a different question of how different genes are inherited remains. For example, is the gene for tall plants inherited with the gene for green peas? Mendel asked this question by experimenting with a dihybrid cross; a cross in which both parents are homozygous for two distinct traits resulting in an F1 generation that are heterozygous for both traits.
55.6K
Bewley Lattice Diagram01:12

Bewley Lattice Diagram

615
The Bewley lattice diagram, developed by L. V. Bewley, effectively organizes the reflections occurring during transmission-line transients. It visually represents how voltage waves propagate and reflect within a transmission line, making it easier to understand the complex interactions that occur.
615
Structure of Benzene: Kekulé Model01:07

Structure of Benzene: Kekulé Model

8.8K
In 1865, August Kekule suggested the structure of benzene according to the structural theory of organic chemistry based on the three assertions—formula of benzene is C6H6, all the hydrogens of benzene are equivalent, and each carbon must have four bonds due to its tetravalency.
He proposed that benzene has a cyclic structure of six carbon atoms attached to one hydrogen atom each, with three alternating pi bonds.
8.8K
The Aufbau Principle and Hund's Rule03:02

The Aufbau Principle and Hund's Rule

47.8K
To determine the electron configuration for any particular atom, we can build the structures in the order of atomic numbers. Beginning with hydrogen, and continuing across the periods of the periodic table, we add one proton at a time to the nucleus and one electron to the proper subshell until we have described the electron configurations of all the elements. This procedure is called the aufbau principle, from the German word aufbau (“to build up”). Each added electron occupies the...
47.8K

You might also read

Related Articles

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

Sort by
Same author

Handling skewness and directional tails in model-based clustering.

Statistical papers (Berlin, Germany)·2025
Same author

Parsimony and parameter estimation for mixtures of multivariate leptokurtic-normal distributions.

Advances in data analysis and classification·2024
Same author

Women and insurance pricing policies: a gender-based analysis with GAMLSS on two actuarial datasets.

Scientific reports·2024
Same author

Dichotomous unimodal compound models: application to the distribution of insurance losses.

Journal of applied statistics·2022
Same author

Multiple scaled symmetric distributions in allometric studies.

The international journal of biostatistics·2021
Same author

Multivariate generalized hidden Markov regression models with random covariates: Physical exercise in an elderly population.

Statistics in medicine·2018
Same journal

Elastic functional Cox regression model with shape predictors.

Journal of applied statistics·2026
Same journal

An improved two-stage binary relevance method for multilabel classification.

Journal of applied statistics·2026
Same journal

Classification of multivariate functional data with an application to ADHD fMRI data.

Journal of applied statistics·2026
Same journal

Assessing the performance of longitudinal T-lymphocytes as biomarkers of immune recovery in HIV-infected children with or without TB co-infection.

Journal of applied statistics·2026
Same journal

Sparse long-only Markowitz portfolio optimization.

Journal of applied statistics·2026
Same journal

Homogeneity of multinomial populations when data are classified into a large number of groups.

Journal of applied statistics·2026
See all related articles

Related Experiment Video

Updated: Jun 25, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K

The Kullback-Leibler autodependogram.

L Bagnato1, L De Capitani2, A Punzo3

  • 1Dipartimento di Discipline Matematiche, Finanza Matematica e Econometria, Università Cattolica del Sacro Cuore, Milano, Italy.

Journal of Applied Statistics
|May 31, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces an improved autodependogram using Kullback-Leibler divergence for analyzing time series dependencies. The enhanced method proves more powerful than the original Pearson correlation-based approach for detecting lag-dependencies.

Keywords:
62F0362J2062M1062N03Epanechnikov kernelKullback–Leibler divergenceNonlinear time seriesautocorrelogramautodependogrampermutations

More Related Videos

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
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

2.5K

Related Experiment Videos

Last Updated: Jun 25, 2025

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues
07:08

Optimization of Synthetic Proteins: Identification of Interpositional Dependencies Indicating Structurally and/or Functionally Linked Residues

Published on: July 14, 2015

7.3K
Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
11:18

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks

Published on: March 2, 2015

10.3K
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

2.5K

Area of Science:

  • Time Series Analysis
  • Statistical Modeling
  • Information Theory

Background:

  • Autodependencies in time series data are crucial for understanding dynamic systems.
  • The classical autodependogram uses Pearson correlation to identify lag-dependencies.
  • Limitations exist in the sensitivity of Pearson correlation for certain dependency structures.

Purpose of the Study:

  • To propose an improved autodependogram for more sensitive detection of time series autodependencies.
  • To enhance the analysis of lag-dependencies by employing information-theoretic measures.
  • To evaluate the performance of the new method against the traditional autodependogram.

Main Methods:

  • The proposed method replaces Pearson correlation with an estimator of Kullback-Leibler divergence.
  • Kullback-Leibler divergence measures the difference between joint and product of marginal distributions of delayed variables.
  • A simulation study using established time series models was conducted for comparison.

Main Results:

  • The enhanced autodependogram demonstrates superior power in detecting lag-dependencies compared to the classical version.
  • Simulation results confirm the improved sensitivity across various time series models.
  • The method's efficacy is validated through an application to a financial time series.

Conclusions:

  • The Kullback-Leibler divergence-based autodependogram offers a more powerful tool for time series analysis.
  • This advancement provides a more sensitive approach to identifying complex lag-dependencies.
  • The improved method has practical implications for financial time series analysis and other dynamic systems.