| Using information-theory metrics to detect regime changes in dynamical systems J Amezcua, N Chakraborty EGU24, 2024 | | 2024 |
| Causal Analysis of Influence of the Solar Cycle and Latitudinal Solar-Wind Structure on Corotation Forecasts N Chakraborty, H Turner, M Owens, M Lang Solar Physics 298 (142), https://link.springer.com/article/10.100, 2023 | | 2023 |
| Testing RNN-LSTM Forecasting with Simulated Time-Series: Exploring Univariate Sensitivity N Chakraborty Preprints, 2023 | | 2023 |
| Gammapy Version 0.20. 1 A Donath, R Terrier, Q Remy, A Sinha, F Pintore, L Olivera-Nieto, C Nigro, ... | | 2022 |
| Rate of change of large-scale solar-wind structure MJ Owens, N Chakraborty, H Turner, M Lang, P Riley, M Lockwood, ... Solar Physics 297 (7), 83, 2022 | 4 | 2022 |
| Gammapy Release V0. 19 A Donath, C Deil, R Terrier, J King, JE Ruiz, Q Remy, L Jouvin, A Sinha, ... | | 2022 |
| Causal Diagnostics for Observations-Experiments with the L63 system N Chakraborty, J Amezcua EGU General Assembly Conference Abstracts, EGU22-13053, 2022 | | 2022 |
| Using mutual information to measure time lags from nonlinear processes in astronomy N Chakraborty, PJ Van Leeuwen Physical Review Research 4 (1), 013036, 2022 | 3 | 2022 |
| A framework for causal discovery in non-intervenable systems PJ Van Leeuwen, M DeCaria, N Chakraborty, M Pulido Chaos: An Interdisciplinary Journal of Nonlinear Science 31 (12), 2021 | 6 | 2021 |
| Forecasting and Causal Inference Analysis of Satellite-based Rainfall Estimates and Soil Moisture for Drought and Flood Early Warning Systems (EWS) E Tarnavsky, N Chakraborty AGU Fall Meeting Abstracts 2021, H25R-1232, 2021 | | 2021 |
| gammapy/gammapy: v. 0.19 A Donath, C Deil, R Terrier, J King, JE Ruiz, Q Remy, L Jouvin, A Sinha, ... Zenodo, 2021 | 2 | 2021 |
| Identifying Causes of Rapid Intensification in Hurricane Patricia (2015) Using a New Causal Discovery Framework MA DeCaria, PJ van Leeuwen, D Tao, MM Bell, N Chakraborty, M Pulido 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
| A framework for causal discovery in non-intervenable systems PJ Leeuwen, M DeCaria, N Chakraborty, MA Pulido American Institute of Physics, 2021 | | 2021 |
| Bayesian Inference to infer causal structures N Chakraborty, PJ van Leeuwen, M DeCaria, MA Pulido AGU Fall Meeting Abstracts 2020, NG002-0026, 2020 | | 2020 |
| A New Causal Discovery Framework Accounting for Nonlinear Emergent Physics, Applied to Convective Initiation and Tropical Cyclone Rapid Intensification M DeCaria, PJ van Leeuwen, C Chiu, M Lang, N Chakraborty, MA Pulido, ... AGU Fall Meeting Abstracts 2020, IN006-0004, 2020 | | 2020 |
| Exploring Finite-Sized Scale Invariance in Stochastic Variability with Toy Models: The Ornstein–Uhlenbeck Model N Chakraborty Symmetry 12 (11), 1927, 2020 | | 2020 |
| gammapy/gammapy: v. 0.18. 2 C Deil, A Donath, R Terrier, JE Ruiz, J King, A Sinha, M Wood, B Sipőcz, ... Zenodo, 2020 | 5 | 2020 |
| Estimating longterm power spectral densities in AGN from simulations N Chakraborty, FM Rieger arXiv preprint arXiv:2010.01038, 2020 | | 2020 |
| A framework for causality under data assimilation N Chakraborty, PJ van Leeuwen, M de Caria, M Pulido EGU General Assembly Conference Abstracts, 22521, 2020 | | 2020 |
| Resolving the Crab pulsar wind nebula at teraelectronvolt energies Nature astronomy 4 (2), 167-173, 2020 | 46 | 2020 |