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相关概念视频

Probability Histograms01:17

Probability Histograms

11.8K
A probability histogram is a visual representation of a probability distribution. Similar a typical histogram, the probability histogram consists of contiguous (adjoining) boxes. It has both a horizontal axis and a vertical axis. The horizontal axis is labeled with what the data represents. The vertical axis is labeled with probability. Each rectangular bar in the histogram is 1 unit wide, which suggests that the area under each bar equals the probability, P(x), where x is 1, 2, 3, and so on.
11.8K
Probability Distributions01:32

Probability Distributions

7.3K
 The probability of a random variable x  is the likelihood of its occurrence. A probability distribution represents the probabilities of a random variable using a formula, graph, or table. There are two types of probability distribution– discrete probability distribution and continuous probability distribution.
A discrete probability distribution is a probability distribution of discrete random variables. It can be categorized into binomial probability distribution and Poisson...
7.3K
Poisson Probability Distribution01:09

Poisson Probability Distribution

8.3K
A Poisson probability distribution is a discrete probability distribution. It gives the probability of a number of events occurring in a fixed interval of time or space if these events happen at a known average rate and independently of the time since the last event. For example, a book editor might be interested in the number of words spelled incorrectly in a particular book. It might be that, on average, there are five words spelled incorrectly in 100 pages. The interval is 100 pages.
The...
8.3K
Probability in Statistics01:14

Probability in Statistics

13.5K
Probability is the likelihood of an event occurring. The term event is defined as a collection of results of a procedure. An event is a simple event when an outcome cannot be divided into simpler parts.
An example of a simple event is a coin toss. The result of a coin toss is either a head or a tail. Here, head and tail are two simple events. These two simple events make up the sample space. Further, the probability of an event occurring falls within the range of 0 to 1. The probability of an...
13.5K
Binomial Probability Distribution01:15

Binomial Probability Distribution

11.1K
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,...
11.1K
Probability Laws01:49

Probability Laws

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Overview
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相关实验视频

Updated: Jul 22, 2025

Trajectory Data Analyses for Pedestrian Space-time Activity Study
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Trajectory Data Analyses for Pedestrian Space-time Activity Study

Published on: February 25, 2013

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互动可视化和计算2D和3D概率分布的交互可视化和计算.

Mark Bobrovnikov1, Jared Tianyi Chai1, Ivo D Dinov1

  • 1Statistics Online Computational Resource (SOCR) University of Michigan, Ann Arbor, MI 48109, USA https://socr.umich.edu.

SN computer science
|July 24, 2023
PubMed
概括

本研究介绍了一种用于二变和三变概率分布的新网络计算器,解决了当前人工智能和统计工具的差距. 可访问的在线计算器有助于理解复杂的多变量概率数据科学家和AI学习者.

科学领域:

  • 人工智能的人工智能
  • 统计 统计 统计 统计
  • 数据科学数据科学数据科学

背景情况:

  • 数学建模,概率估计和统计推理对于人工智能 (AI) 是至关重要的.
  • 现有的工具主要集中在单变概率分布上,限制了先进的AI应用.
  • 多变量分布对于复杂的统计推理和AI决策至关重要.

研究的目的:

  • 介绍一款用于计算和可视化二变和三变概率分布的新型网络计算器.
  • 为了弥合多变量概率分析的现有工具的差距.
  • 支持数据科学家,STEM教师和AI学习者在他们的教育和研究工作中.

主要方法:

  • 探索用于计算联合二变和三变概率密度的方法,包括高斯偶数建模.
  • 使用HTML5和JavaScript开发交互式Web应用程序,以实现平台独立性和可扩展性.
  • 数学公式,计算实现和多变量概率密度和累积分布函数的图形表示之间的平行线的可视化.

主要成果:

  • 通过在各种实验条件下测试多变量偶数模型来验证Web应用程序的有效性.
  • 证明估计的多变量概率密度和分布函数值的准确性和可靠性.
  • 成功构建,实施和利用多变量概率计算器.
关键词:
人工智能/MLML这里是Copula copula.累积分配的累积分配是指累积分配的累积分配.教育教育教育教育的教育.多变量分布的多变量分布.概率密度是指概率密度的密度.一个概率分布的概率分布.统计 统计 统计 统计 统计

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结论:

  • 开发的Web应用程序为计算和可视化多变量概率分布提供了宝贵的资源.
  • 该工具在线免费使用,促进更广泛地获得先进的统计和人工智能概念.
  • 这个资源可以显著帮助与多变量统计和人工智能相关的教育和研究.