Indranil Ghosh

Orcid: 0000-0001-7064-4774

According to our database1, Indranil Ghosh authored at least 33 papers between 2009 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
Robust Chaos in Orientation-Reversing and Non-Invertible Two-Dimensional Piecewise-Linear Maps.
J. Nonlinear Sci., February, 2025

2024
Bayesian inference for two nonstandard flexible families of bivariate Kumaraswamy models: theory and applications.
Commun. Stat. Simul. Comput., September, 2024

An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements.
J. Oper. Res. Soc., August, 2024

Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications.
Axioms, March, 2024

Tobin's q and firm performance: MCDM and clustering-based approach for Indian companies.
Int. J. Bus. Inf. Syst., 2024

The bifurcation structure within robust chaos for two-dimensional piecewise-linear maps.
Commun. Nonlinear Sci. Numer. Simul., 2024

2023
A bivariate geometric distribution via conditional specification: properties and applications.
Commun. Stat. Simul. Comput., December, 2023

Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI.
Expert Syst. Appl., June, 2023

Modelling Predictability of Airbnb Rental Prices in Post COVID-19 Regime: An Integrated Framework of Transfer Learning, PSO-Based Ensemble Machine Learning and Explainable AI.
Int. J. Inf. Technol. Decis. Mak., May, 2023

Hidden truncation in multivariate Pareto (II) data: properties and inference.
Commun. Stat. Simul. Comput., May, 2023

Prediction and Deeper Analysis of Market Fear in Pre-COVID-19, COVID-19 and Russia-Ukraine Conflict: A Comparative Study of Facebook Prophet, Uber Orbit and Explainable AI.
Proceedings of the Computational Intelligence in Communications and Business Analytics, 2023

2022
Dynamical Effects of Electromagnetic Flux on Chialvo Neuron Map: Nodal and Network Behaviors.
Int. J. Bifurc. Chaos, 2022

Renormalization of the Two-Dimensional Border-Collision Normal Form.
Int. J. Bifurc. Chaos, 2022

Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook's prophet framework for stock market prediction: An application in Indian context.
Expert Syst. Appl., 2022

A physics-driven study of dominance space in soccer.
CoRR, 2022

Inferences of a Mixture Bivariate Alpha Power Exponential Model with Engineering Application.
Axioms, 2022

A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics.
Algorithms, 2022

2021
Measuring the Pollutants in a System of Three Interconnecting Lakes by the Semianalytical Method.
J. Appl. Math., 2021

Introspecting predictability of market fear in Indian context during COVID-19 pandemic: An integrated approach of applied predictive modelling and explainable AI.
Int. J. Inf. Manag. Data Insights, 2021

Parameter estimation methods for the Weibull-Pareto distribution.
Comput. Math. Methods, 2021

A differential evolution-based regression framework for forecasting Bitcoin price.
Ann. Oper. Res., 2021

2020
A granular deep learning approach for predicting energy consumption.
Appl. Soft Comput., 2020

Effort: A New Metric for Roadside Unit Placement in 5G Enabled Vehicular Networks.
Proceedings of the 3rd IEEE 5G World Forum, 2020

2019
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms.
Appl. Soft Comput., 2019

2018
A note on Sum, Difference, Product and Ratio of Kumaraswamy Random Variables.
J. Stat. Theory Appl., 2018

2017
Analysis of Causal Interactions and Predictive Modelling of Financial Markets Using Econometric Methods, Maximal Overlap Discrete Wavelet Transformation and Machine Learning: A Study in Asian Context.
Proceedings of the Pattern Recognition and Machine Intelligence, 2017

2016
Artificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework.
CoRR, 2016

Using Clustering Method to Understand Indian Stock Market Volatility.
CoRR, 2016

Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs.
CoRR, 2016

2015
On the Weibull-X family of distributions.
J. Stat. Theory Appl., 2015

Characterizations of Distributions Via Conditional Expectation of Function of Generalized Order Statistics.
J. Stat. Theory Appl., 2015

2014
The Kumaraswamy-Half-Cauchy distribution: properties and applications.
J. Stat. Theory Appl., 2014

2009
An Advanced Partitioning Approach of Web Page Clustering utilizing Content & Link Structure.
J. Convergence Inf. Technol., 2009


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