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Difference between Marginal Distribution and Conditional Distribution Difference between Marginal Distribution and Conditional Distribution
The possibility of two events occurring at the same time is known as joint probability. To better know the concept, we should take a closer look at marginal distribution and conditional distribution into detail.
2021-09-16 Statistics
Statistics
One-way ANOVA Implemented from Scratch One-way ANOVA Implemented from Scratch
ANOVA (ANalysis Of VAriance) test used to compare the means of more than 2 groups, whilst t-test can only be used to compare 2 groups. ANOVA uses variance-based F test to check the group mean equality. There are two main types of ANOVA, one-way (one factor) and two-way (two factors) ANOVA.
2021-08-29 Statistics
Python Statistics ANOVA
Linear Regression using statsmodels Linear Regression using statsmodels
A linear regression to modelling the relationship between a scalar response and one or more explanatory variables is known as linear regression in statistics (also known as dependent and independent variables). Simple linear regression is used when there is only one explanatory variable; multiple linear regression is used when there are more than one.
2021-08-28 Statistics
Python Statistics
Basic Investment Models and Their Statistical Analysis Basic Investment Models and Their Statistical Analysis
Three cornerstones of quantitative finance are asset returns, interest rates, and volatilities. They appear in many fundamental formulas in finance. In this article, we consider their interplay and the underlying statistical issues in a classical topic in quantitative finance.
2021-05-26 Statistics
Statistics Asset
Jensen's Inequality and its Role in Finance Jensen's Inequality and its Role in Finance
Jensen's inequality is perhaps the most famous theorem in quantitative finance (note that it is a "theorem" and not a model or a formula) and it is the reason why financial derivatives have value. Concept of convexity, Jensen's inequality, randomness and volatility of an asset price are intricately linked.
2021-05-26 Statistics
Statistics Finance Mathematics
Introduction to Ordinary Least Squares Introduction to Ordinary Least Squares
In empirical finance and many other domains, linear regression and the closely related linear prediction theory are commonly used statistical methods. Because of the wide range of applications, basic linear regression courses normally concentrate on the mathematically simplest scenario, which can be used in a variety of other applications.
2021-05-26 Statistics
OLS Linear Regression
Skewness and Kurtosis Skewness and Kurtosis
Statistics is a discipline of applied mathematics that deals with the gathering, describing, analysing, and inferring conclusions from numerical data. Differential and integral calculus, linear algebra, and probability theory are all used substantially in statistics' mathematical theories.
2021-05-26 Statistics
Statistics Skewness Kurtosis
P-Value Easy Explanation P-Value Easy Explanation
In Data Science interviews, one of the frequently asked questions is 'What is P-Value?'. It's hard to grasp the concept behind p-value. To understand p-value, you need to understand some background and context behind it.
2021-03-12 Statistics
Python Statistics