Tutorials
Courses
Go Premium

Similar Topics

Web Technologies32.1K+ articles

DSA20.0K+ articles

AI-ML-DS3.9K+ articles

Machine Learning2.5K+ articles

AI-ML-DS With Python2.0K+ articles

python1.2K+ articles

Artificial Intelligence661+ articles

Data Science608+ articles

Machine Learning180+ articles

Data Science134+ articles

ML-Statistics

122+ posts

ARCH: Autoregressive Conditional Heteroskedasticity

Last Updated: 29 July 2025

ARCH is a statistical model used to analyze time series data where the variance changes over time. It was introduced by Robert Engle in 1982 mainly for financial data like...read more

article_image

Stochastic Variational Inference (SVI)

Last Updated: 28 July 2025

Stochastic Variational Inference (SVI) is a method used to estimate complex probability distributions in large datasets. It’s based on variational inference where we appro...read more

article_image

GARCH(Generalized Autoregressive Conditional Heteroskedasticity)

Last Updated: 10 July 2025

TheGARCH model(Generalized Autoregressive Conditional Heteroskedasticity) is a widely used statistical tool (time series) in finance for predicting how much the prices of ...read more

Artificial Intelligence

Bayesian Optimization with LightGBM

Last Updated: 07 July 2025

Bayesian Optimization is a hyperparameter tuning method that builds a probabilistic model to find the best hyperparameters efficiently. When combined with LightGBM which i...read more

article_image

NumPy for Fast Fourier Transform (FFT) Analysis

Last Updated: 23 July 2025

Fast Fourier Transform (FFT) decomposes a function or dataset into sine and cosine components at different frequencies. It is a quick way to change a signal from the time ...read more

article_image

Recursive Least Square Algorithm

Last Updated: 09 July 2025

The Recursive Least Squares (RLS) algorithm is used in fields like signal processing, adaptive control and system identification. It is an extension of Least Squares metho...read more

article_image

Machine Learning

Conditional Variance

Last Updated: 08 July 2025

Conditional variance helps us to understand how much a variable’s value can vary, if we have information about another related variable. It is a tool that makes models in ...read more

article_image

Non-Parametric Tests

Last Updated: 26 July 2025

Non-parametric tests are applied in hypothesis testing when the data does not satisfy the assumptions necessary for parametric tests, such as normality or equal variances....read more

Artificial Intelligence

Panel Data Analysis in StatsModels

Last Updated: 30 June 2025

Panel data (also known as longitudinal or cross-sectional time-series data) consists of observations on multiple entities (such as individuals, firms, or states) tracked o...read more

article_image

Generalized Method of Moments (GMM) in StatsModels

Last Updated: 30 June 2025

Generalized Method of Moments (GMM) is a flexible estimation technique that uses moment conditions relationships expected to hold in the data to estimate model parameters....read more

article_image

Artificial Intelligence

Empirical Distribution Function (EDF)

Last Updated: 23 July 2025

The Empirical Distribution Function is a method used to estimate the cumulative distribution function (CDF) based on a sample. It provides an estimate of the proportion of...read more

article_image

Artificial Intelligence

Generalized Method of Moments (GMM)

Last Updated: 25 June 2025

The Generalized Method of Moments (GMM) is a method used to estimate the parameters such as slope or intercept in models when traditional methods do not work well. It is u...read more

article_image

Confirmatory factor analysis

Last Updated: 28 July 2025

Confirmatory Factor Analysis (CFA) is a statistical method used to test whether a set of observed variables accurately reflects a smaller number of underlying latent facto...read more

Last Updated: 23 July 2025

SciPy ( Scientific Python) is a foundational library for scientific and technical computing in Python. It builds on NumPy and provides a collection of algorithms and high-...read more

article_image

AI-ML-DS With Python

Denoising Diffusion Probabilistic Models

Last Updated: 18 June 2025

In recent times, a new set of models called Diffusion Models has gained popularity, especially for generating high-quality images. Among these, Denoising Diffusion Probabi...read more

article_image

1 2 3 4 5 6 7 8 9