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

Survival Tree01:19

Survival Tree

496
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...
496
Aggregates Classification01:29

Aggregates Classification

1.1K
Aggregate classification is generally based on its size, petrographic characteristics, weight, and source. Size classification ranges from coarse to fine aggregates, defined by the size of the particles. Coarse aggregates are particles that do not pass through ASTM sieve No. 4, and aggregates that pass through the sieve are fine aggregates.
Petrographic classification groups aggregates based on common mineralogical characteristics. Some of the common mineral groups found in aggregates are...
1.1K
Multiple Regression01:25

Multiple Regression

4.3K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
4.3K
Classification of Systems-II01:31

Classification of Systems-II

562
Continuous-time systems have continuous input and output signals, with time measured continuously. These systems are generally defined by differential or algebraic equations. For instance, in an RC circuit, the relationship between input and output voltage is expressed through a differential equation derived from Ohm's law and the capacitor relation,
562
Classification of Systems-I01:26

Classification of Systems-I

668
Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
Homogeneity dictates that if an input x(t) is multiplied by a constant c, the output y(t) is multiplied by the same constant. Mathematically, this is expressed as:
668
Binomial Expansion Using Pascal's Triangle01:30

Binomial Expansion Using Pascal's Triangle

382
Expanding a binomial expression such as (a + b)n results in a predictable sequence of terms that can be systematically derived using Pascal’s Triangle. This triangular array of numbers plays a central role in understanding and computing the coefficients of binomial expansions.Pascal’s Triangle is constructed such that each row corresponds to the coefficients of a binomial raised to a power. The topmost row, known as the zeroth row, corresponds to (a + b)0, and each successive row...
382

You might also read

Related Articles

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

Sort by
Same author

Effects of <i>Lactobacillus plantarum</i> P9 Probiotics on Defecation and Quality of Life of Individuals with Chronic Constipation: Protocol for a Randomized, Double-Blind, Placebo-Controlled Clinical Trial.

Evidence-based complementary and alternative medicine : eCAM·2022
Same author

Super-taxon in human microbiome are identified to be associated with colorectal cancer.

BMC bioinformatics·2022
Same author

Pre-IVF treatment with a GnRH antagonist in women with endometriosis (PREGNANT): study protocol for a prospective, double-blind, placebo-controlled trial.

BMJ open·2022
Same author

Comparative genomic analysis revealed genetic divergence between Bifidobacterium catenulatum subspecies present in infant versus adult guts.

BMC microbiology·2022
Same author

Probiotics synergized with conventional regimen in managing Parkinson's disease.

NPJ Parkinson's disease·2022
Same author

Protocol of a randomized, double-blind, placebo-controlled study of the effect of probiotics on the gut microbiome of patients with gastro-oesophageal reflux disease treated with rabeprazole.

BMC gastroenterology·2022
Same journal

Improving Overall Risk Ranking via Subgroup-Level Information Borrowing in Survival Risk Stratification.

Statistics and its interface·2026
Same journal

High-dimensional Bayesian mediation analysis with adaptive Laplace priors.

Statistics and its interface·2026
Same journal

Imaging mediation analysis for longitudinal outcomes: a case study of childhood brain tumor survivorship.

Statistics and its interface·2025
Same journal

Variable selection for doubly robust causal inference.

Statistics and its interface·2025
Same journal

Smooth online parameter estimation for time varying VAR models with application to rat local field potential activity data.

Statistics and its interface·2025
Same journal

A Double Regression Method for Graphical Modeling of High-dimensional Nonlinear and Non-Gaussian Data.

Statistics and its interface·2025
See all related articles

Related Experiment Video

Updated: Mar 29, 2026

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
04:41

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

Published on: January 26, 2018

6.6K

Energy bagging tree.

Taoyun Cao1, Xueqin Wang2, Heping Zhang3

  • 1Southern China Research Center of Statistical Science, School of Mathematics and Computational Science,Sun Yat-Sen University,Guangzhou, 510275, China.

Statistics and Its Interface
|November 24, 2015
PubMed
Summary
This summary is machine-generated.

Energy Bagging Tree (EBT) offers a new approach for complex data analysis in multivariate nonparametric regression. This method shows strong performance compared to existing regression tree techniques.

Keywords:
Energy bagging treeEnergy distanceGeneralized Gini's mean differenceMultivariate nonparametric regression

More Related Videos

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

840

Related Experiment Videos

Last Updated: Mar 29, 2026

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs
04:41

A Simple Planting Technique for Re-establishing Trees Where Frequent Inundation Occurs

Published on: January 26, 2018

6.6K
Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring
08:16

Collecting and Processing Drone-based Remotely Sensed Data for Use in Forest Recovery Monitoring

Published on: October 24, 2025

840

Area of Science:

  • Statistics
  • Machine Learning
  • Data Mining

Background:

  • Multivariate nonparametric regression presents challenges for existing methods.
  • Developing robust and accurate regression tree algorithms is crucial for complex datasets.

Purpose of the Study:

  • Introduce Energy Bagging Tree (EBT) as a novel method for multivariate nonparametric regression.
  • Evaluate EBT's performance against established regression tree techniques.

Main Methods:

  • EBT utilizes a novel measure of dispersion based on generalized Gini's mean difference for node impurity.
  • The tree split function incorporates energy distance and descendant proportions.
  • Non-parametric extension of between-sample variation from analysis of variance.

Main Results:

  • Extensive simulation studies demonstrate EBT's high competitiveness with existing regression tree methods.
  • Real-world data analysis on forest fires confirms EBT's practical performance.

Conclusions:

  • EBT is a promising and effective tool for multivariate nonparametric regression.
  • The method's unique dispersion measure aids in understanding complex data structures.