Indranil Ghosh
Orcid: 0000-0001-7064-4774
According to our database1,
Indranil Ghosh
authored at least 33 papers
between 2009 and 2025.
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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
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
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
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
Comput. Math. Methods, 2021
Ann. Oper. Res., 2021
2020
Appl. Soft Comput., 2020
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
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
Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs.
CoRR, 2016
2015
Characterizations of Distributions Via Conditional Expectation of Function of Generalized Order Statistics.
J. Stat. Theory Appl., 2015
2014
J. Stat. Theory Appl., 2014
2009
An Advanced Partitioning Approach of Web Page Clustering utilizing Content & Link Structure.
J. Convergence Inf. Technol., 2009