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ORCIDIndranil Ghosh
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2020 – today
- 2025
[j26]Indranil Ghosh
, Robert I. McLachlan, David J. W. Simpson:
Robust Chaos in Orientation-Reversing and Non-Invertible Two-Dimensional Piecewise-Linear Maps. J. Nonlinear Sci. 35(1): 16 (2025)- 2024
- [j25]Indranil Ghosh, Hon Keung Tony Ng, Kipum Kim, Seong W. Kim:
Bayesian Inference for a Hidden Truncated Bivariate Exponential Distribution with Applications. Axioms 13(3): 140 (2024) - [j24]Indranil Ghosh, Robert I. McLachlan, David J. W. Simpson:
The bifurcation structure within robust chaos for two-dimensional piecewise-linear maps. Commun. Nonlinear Sci. Numer. Simul. 134: 108025 (2024) - [j23]Indranil Ghosh, Barry C. Arnold:
Bayesian inference for two nonstandard flexible families of bivariate Kumaraswamy models: theory and applications. Commun. Stat. Simul. Comput. 53(9): 4568-4580 (2024) - [j22]Roma Kumari, Tamal Datta Chaudhuri, Indranil Ghosh:
Tobin's q and firm performance: MCDM and clustering-based approach for Indian companies. Int. J. Bus. Inf. Syst. 45(4): 564-590 (2024) - [j21]Rabin K. Jana, Indranil Ghosh, P. N. Ram Kumar:
An explainable AI-enabled granular ensemble machine learning framework to demystify fertilizer price movements. J. Oper. Res. Soc. 75(8): 1569-1586 (2024) - 2023
- [j20]Indranil Ghosh:
Hidden truncation in multivariate Pareto (II) data: properties and inference. Commun. Stat. Simul. Comput. 52(5): 2093-2114 (2023) - [j19]Indranil Ghosh, Filipe Marques, Subrata Chakraborty:
A bivariate geometric distribution via conditional specification: properties and applications. Commun. Stat. Simul. Comput. 52(12): 5925-5945 (2023) - [j18]Indranil Ghosh, Esteban Alfaro Cortés, Matías Gámez, Noelia García Rubio:
Role of proliferation COVID-19 media chatter in predicting Indian stock market: Integrated framework of nonlinear feature transformation and advanced AI. Expert Syst. Appl. 219: 119695 (2023) - [j17]Indranil Ghosh, Manas K. Sanyal, Dragan Pamucar:
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. 22(3): 917-955 (2023) - [c3]Sai Shyam Desetti, Indranil Ghosh:
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. CICBA (1) 2023: 213-227 - 2022
- [j16]Indranil Ghosh, Muhammad Mahbubur Rashid, Shukranul Mawa, Rupal Roy, Md. Manjurul Ahsan, Muhammad Ramiz Uddin, Kishor Datta Gupta, Pallabi Ghosh:
A Modified Iterative Algorithm for Numerical Investigation of HIV Infection Dynamics. Algorithms 15(5): 175 (2022) - [j15]Refah Mohammed Alotaibi, Mazen Nassar, Indranil Ghosh, Hoda Rezk, Ahmed Elshahhat:
Inferences of a Mixture Bivariate Alpha Power Exponential Model with Engineering Application. Axioms 11(9): 459 (2022) - [j14]Indranil Ghosh, Tamal Datta Chaudhuri:
Integrating Navier-Stokes equation and neoteric iForest-BorutaShap-Facebook's prophet framework for stock market prediction: An application in Indian context. Expert Syst. Appl. 210: 118391 (2022) - [j13]Sishu Shankar Muni, Hammed Olawale Fatoyinbo, Indranil Ghosh:
Dynamical Effects of Electromagnetic Flux on Chialvo Neuron Map: Nodal and Network Behaviors. Int. J. Bifurc. Chaos 32(9): 2230020:1-2230020:26 (2022) - [j12]Indranil Ghosh, David J. W. Simpson:
Renormalization of the Two-Dimensional Border-Collision Normal Form. Int. J. Bifurc. Chaos 32(12): 2250181:1-2250181:20 (2022) - [i4]Costas J. Efthimiou, Gregory DeCamillis, Indranil Ghosh:
A physics-driven study of dominance space in soccer. CoRR abs/2202.00414 (2022) - 2021
- [j11]R. K. Jana, Indranil Ghosh, Debojyoti Das:
A differential evolution-based regression framework for forecasting Bitcoin price. Ann. Oper. Res. 306(1): 295-320 (2021) - [j10]Sanku Dey, Ayman Alzaatreh, Indranil Ghosh:
Parameter estimation methods for the Weibull-Pareto distribution. Comput. Math. Methods 3(1) (2021) - [j9]Indranil Ghosh, Manas K. Sanyal:
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 1(2): 100039 (2021) - [j8]Indranil Ghosh, M. S. H. Chowdhury, Suazlan Mt Aznam, Muhammad Mahbubur Rashid:
Measuring the Pollutants in a System of Three Interconnecting Lakes by the Semianalytical Method. J. Appl. Math. 2021: 6664307:1-6664307:16 (2021) - 2020
- [j7]Rabin K. Jana, Indranil Ghosh, Manas K. Sanyal:
A granular deep learning approach for predicting energy consumption. Appl. Soft Comput. 89: 106091 (2020) - [c2]Sarath Babu, Indranil Ghosh, B. S. Manoj:
Effort: A New Metric for Roadside Unit Placement in 5G Enabled Vehicular Networks. 5G World Forum 2020: 263-268
2010 – 2019
- 2019
- [j6]Indranil Ghosh, Rabin K. Jana, Manas K. Sanyal:
Analysis of temporal pattern, causal interaction and predictive modeling of financial markets using nonlinear dynamics, econometric models and machine learning algorithms. Appl. Soft Comput. 82 (2019) - 2018
- [j5]Avishek Mallick, Indranil Ghosh, G. G. Hamedani:
A note on Sum, Difference, Product and Ratio of Kumaraswamy Random Variables. J. Stat. Theory Appl. 17(2): 230-241 (2018) - 2017
- [c1]Indranil Ghosh, Manas K. Sanyal, R. K. Jana:
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. PReMI 2017: 664-672 - 2016
- [i3]Tamal Datta Chaudhuri, Indranil Ghosh:
Forecasting Volatility in Indian Stock Market using Artificial Neural Network with Multiple Inputs and Outputs. CoRR abs/1604.05008 (2016) - [i2]Tamal Datta Chaudhuri, Indranil Ghosh:
Using Clustering Method to Understand Indian Stock Market Volatility. CoRR abs/1604.05015 (2016) - [i1]Tamal Datta Chaudhuri, Indranil Ghosh:
Artificial Neural Network and Time Series Modeling Based Approach to Forecasting the Exchange Rate in a Multivariate Framework. CoRR abs/1607.02093 (2016) - 2015
- [j4]Ayman Alzaatreh, Indranil Ghosh:
On the Weibull-X family of distributions. J. Stat. Theory Appl. 14(2): 169-183 (2015) - [j3]Mohammad Ahsanullah, G. G. Hamedani, Indranil Ghosh:
Characterizations of Distributions Via Conditional Expectation of Function of Generalized Order Statistics. J. Stat. Theory Appl. 14(4): 350-358 (2015) - 2014
- [j2]Indranil Ghosh:
The Kumaraswamy-Half-Cauchy distribution: properties and applications. J. Stat. Theory Appl. 13(2): 122-134 (2014)
2000 – 2009
- 2009
- [j1]Ruma Dutta, Indranil Ghosh, Anirban Kundu, Debajyoti Mukhopadhyay:
An Advanced Partitioning Approach of Web Page Clustering utilizing Content & Link Structure. J. Convergence Inf. Technol. 4(3): 65-71 (2009)
Coauthor Index
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