Publications
 M. Reeves and H. S. Bhat (2022)
Neural ContinuousTime Markov Models.
[arXiv]
 H. S. Bhat (2022)
Drift Identification for Lévy alphaStable Stochastic Systems.
[arXiv]
 M. E. Reeves, H. S. Bhat, and S. GoldmanMellor (2022)
Resampling to Address Inequities in Predictive Modeling of Suicide Deaths.
BMJ Health & Care Informatics 29(1): e100456.
[link]
 H. S. Bhat, K. Collins, P. Gupta, and C. M. Isborn (2022)
Dynamic Learning of Correlation Potentials for a TimeDependent KohnSham System.
Proceedings of the 4th Annual Learning for Dynamics and Control Conference, PMLR 168, pp. 546558.
[arXiv]
[link]
 H. S. Bhat, M. E. Reeves, and S. GoldmanMellor (2022)
EquityDirected Bootstrapping: Examples and Analysis.
Stat 11(1): e456.
[link] [arXiv]
 S. GoldmanMellor, H. S. Bhat, M. H. Allen, M. Schoenbaum (2022)
Suicide Risk Among Hospitalized Versus Discharged Deliberate SelfHarm Patients: Generalized Random Forest Analysis Using a Large Claims Data Set.
American Journal of Preventive Medicine 62(4): 558566.
[link]
 P. Gupta, H. S. Bhat, K. Ranka, and C. M. Isborn (2021)
Statistical Learning for Predicting DensityMatrix Based Electron Dynamics.
Stat 11(1): e439.
[link] [arxiv]
 R. K. Yoon, H. S. Bhat, and B. Osting (2021)
A nonautonomous equation discovery method for time signal classification.
SIAM Journal on Applied Dynamical Systems 21(1): 3359.
[arxiv] [link]
 S. GoldmanMellor, C. Hall, M. Cerdá, and H. S. Bhat (2020)
Firearm suicide mortality among emergency department patients with physical health problems.
Annals of Epidemiology 54, pp. 3844.
[link]
 H. S. Bhat, K. Ranka, and C. M. Isborn (2020)
Machine learning a molecular Hamiltonian for predicting electron dynamics.
International Journal of Dynamics and Control 8(4): 10891101.
[link] [arXiv]
 H. S. Bhat, M. Reeves, and R. Raziperchikolaei (2020)
Estimating Vector Fields from Noisy Time Series.
Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, pp. 509606.
[pdf] [link]
 H. S. Bhat (2019)
Learning and Interpreting Potentials for Classical Hamiltonian Systems.
In: International Workshops of ECML PKDD 2019, Proceedings, Part I,
Communications in Computer and Information Science 1167, pp. 217228.
[arxiv] [link]
 H. S. Bhat and S. Rawat (2019)
Learning Stochastic Dynamical Systems via Bridge Sampling.
In: Advanced Analytics and Learning on Temporal Data (AALTD 2019),
Lecture Notes in Computer Science 11986, pp. 183198.
[pdf] [link]
 H. S. Bhat, L.H. Huang, and S. Rodriguez (2019)
Driving Markov Chains to Desired Equilibria via Linear Programming.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, pp. 741748.
[pdf] [link]
 R. Raziperchikolaei and H. S. Bhat (2019)
A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation.
Proceedings of the 36th International Conference on Machine Learning, PMLR 97, pp. 53805388.
[abs] [pdf] [supplementary material] [code]
 R. Dale and H. S. Bhat (2018)
Equations of mind: Data science for inferring nonlinear dynamics of sociocognitive systems.
Cognitive Systems Research, 52, pp. 275290.
[link]
 H. S. Bhat, R. W. M. A. Madushani, and S. Rawat (2018)
Parameter Inference for Stochastic Differential Equations with Density Tracking by Quadrature.
In: Statistics and Simulation. Springer Proceedings in Mathematics & Statistics. 231, pp. 99113.
[link]
 H. S. Bhat and S. J. GoldmanMellor (2017)
Predicting adolescent suicide attempts with neural networks.
NIPS 2017 Workshop on Machine Learning for Health (ML4H)
[arXiv]
 H. S. Bhat and R. W. M. A. Madushani (2016)
Density tracking by quadrature for stochastic differential equations.
[arXiv]
 H. S. Bhat, R. W. M. A. Madushani, and S. Rawat (2017)
Bayesian inference of stochastic pursuit models from basketball tracking data.
In: Bayesian Statistics in Action. Springer Proceedings in Mathematics & Statistics. 194, pp.127137.
[pdf]
[link]
 H. S. Bhat, R. W. M. A. Madushani, and S. Rawat (2016)
Scalable SDE filtering and inference with Apache Spark.
Proceedings of the 5th International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications
(KDD BigMine '16), PMLR 53, pp. 1834.
[pdf]
[link]
 H. S. Bhat and R. W. M. A. Madushani (2016)
Nonparametric adjointbased inference for stochastic differential equations.
Proc. 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA), pp. 798807.
[pdf]
[link]
 T. Bergmann, R. Dale, N. Sattari, E. Heit, and H. S. Bhat (2016)
The interdisciplinarity of collaborations in Cognitive Science.
Cognitive Science, 41 (5), pp. 14121418.
[link]
 H. S. Bhat, N. Kumar, and G. J. Vaz (2015)
Towards scalable quantile regression trees.
Proc. 2015 IEEE Conference on Big Data, pp. 5360.
[pdf]
[link]
 H. S. Bhat, L.H. Huang, S. Rodriguez, R. Dale, and E. Heit (2015)
Citation prediction using diverse features.
IEEE Conference on Data Mining Workshop on Data Science and Big Data Analytics, pp. 589596.
[pdf]
[link]
 H. S. Bhat, L.H. Huang, and S. Rodriguez (2015)
Learning stochastic models for basketball substitutions from playbyplay data.
ECML/PKDD 2015 Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA 2015).
[pdf]
 H. S. Bhat and N. Kumar (2015)
Largescale empirical tests of the Markov tree model.
International Journal of Financial Studies, 3 (3), pp. 280318.
[link]
 H. S. Bhat and R. W. M. A. Madushani (2015)
Computing the density function for a nonlinear stochastic
delay system.
Proc. 12th IFAC Workshop on Time Delay Systems (TDS 2015), IFACPapersOnLine, 48 (12), pp. 316321.
[pdf]
[link]
 H. S. Bhat (2014)
Algorithms for linear stochastic delay differential equations.
In: Topics in Statistical Simulation. Springer Proceedings in Mathematics & Statistics. 114, pp. 5765
[pdf]
[link]
 H. S. Bhat and D. Zaelit (2014)
Forecasting retained earnings of privately held
companies with PCA and L^{1} regression.
Applied Stochastic Models in Business and Industry, 30 (3), pp. 271293.
[pdf]
[link]
 H. S. Bhat and G. J. Vaz (2013)
Frequency response and gap tuning for nonlinear electrical oscillator networks.
PLoS ONE, 8 (11): e78009.
[link]
 H. S. Bhat, G. J. Vaz, and J. C. Meza (2013)
Fast solution of load shedding problems via a sequence of linear programs.
Proc. 2013 IEEE International Conference on Big Data, Santa Clara, CA, Nov. 2013.
[pdf]
[link]
 P. J. Becich, B. P. Stark, H. S. Bhat, and D. H. Ardell (2013)
CMCpy: Genetic codemessage coevolution models in Python.
Evolutionary Bioinformatics, 9, pp. 111125.
[link]
 H. S. Bhat and N. Kumar (2012)
Spectral solution of delayed random walks.
Physical Review E, 86 (4) 045701.
[pdf]
[link]
 H. S. Bhat and N. Kumar (2012)
Option pricing under a normal mixture distribution derived from the Markov tree model.
European Journal of Operational Research, 223 (3), pp. 762774.
[pdf]
[link]
 *H. S. Bhat and B. Osting (2011)
Twodimensional inductorcapacitor lattice synthesis.
IEEE Transactions on ComputerAided Design of Integrated Circuits and Systems, 30 (10), pp. 14831492.
[pdf]
[link]
 *H. S. Bhat and B. Osting (2011)
Kirchhoff's laws as a finite volume method for a planar Maxwell system.
IEEE Transactions on Antennas and Propagation, 59 (10),
pp. 37723779.
[pdf]
[link]
 H. S. Bhat and D. Zaelit (2011)
Predicting private company exits using qualitative data.
Proc. 15th PacificAsia Conference on Knowledge Discovery and Data Mining (PAKDD2011), Shenzhen, China, May 2011.
[pdf]
[link]
 H. S. Bhat and N. Kumar (2010)
Markov tree options pricing.
Proc. SIAM Conference on Mathematics in Industry (MI '09), San Francisco, CA, Oct. 2009, pp. 162173.
[pdf]
[link]
 *H. S. Bhat, W. Lee, G. N. Lilis, and E. Afshari (2010)
Steadystate perturbative theory for nonlinear circuits.
Journal of Physics A: Mathematical and Theoretical,
43, 205101.
[link]
 *G. N. Lilis, J. Park, W. Lee, G. Li, H. S. Bhat, and E. Afshari (2010)
Harmonic generation using nonlinear LC lattices.
IEEE Transactions on Microwave Theory and Technique,
58 (7), pp. 17131723.
[link]
 *H. S. Bhat and B. Osting (2010)
Discrete diffraction in twodimensional transmission line metamaterials.
Microwave and Optical Technology Letters, 52 (3), pp. 721725.
[link]
 *H. S. Bhat and B. Osting (2009)
Diffraction on the twodimensional square lattice.
SIAM Journal on Applied Mathematics, 70 (5), pp. 13891406.
[link]
 *H. S. Bhat and B. Osting (2009).
The zone boundary mode in periodic nonlinear electrical lattices.
Physica D, 238, pp. 12161228.
[link]
 H. S. Bhat and R. C. Fetecau (2009).
On a regularization of the compressible Euler equations for an isothermal gas.
Journal of Mathematical Analysis and Applications, 358 (1), pp. 168181.
[link]
 H. S. Bhat and R. C. Fetecau (2009).
The Riemann problem for the LerayBurgers equation.
Journal of Differential Equations, 246 (10), pp. 39573979.
[link]
 *H. S. Bhat and B. Osting (2008).
Thin slit diffraction in conventional and dual composite right/lefthanded transmission line metamaterials.
Proc. AsiaPacific Microwave Conference (APMC '08), Hong Kong, Dec. 2008.
[link]
 *B. Osting and H. S. Bhat (2008).
Dispersive diffraction in a twodimensional hexagonal transmission lattice.
Proc. International Symposium on Antennas and Propagation (ISAP '08), Taipei, Taiwan, Oct. 2008.
[pdf]
 *H. S. Bhat and E. Afshari (2008).
Nonlinear constructive interference in electrical lattices.
Physical Review E, 77, 066602.
[link]
 H. S. Bhat and R. C. Fetecau (2008).
Stability of fronts for a regularization of the Burgers equation.
Quarterly of Applied Mathematics, 66, pp. 473496.
[link]
 E. Afshari, H. S. Bhat, A. Hajimiri (2008).
Ultrafast analog Fourier transform using twodimensional LC lattice.
IEEE Transactions on Circuits and Systems I, 55 (8), pp. 23322343.
[link]
 H. S. Bhat, R. C. Fetecau, and J. B. Goodman (2007).
A Leraytype regularization for the isentropic Euler equations.
Nonlinearity, 20, pp. 20352046.
[link]
 E. Afshari, H. S. Bhat, X. Li, and A. Hajimiri (2006).
Electrical funnel: a new signal combining method.
Proc. IEEE International SolidState Circuits Conference (ISSCC '06), Feb. 2006, pp. 206208.
[link]
 E. Afshari, H. S. Bhat, A. Hajimiri, and J. E. Marsden (2006).
Extremely wideband signal shaping using one and twodimensional nonuniform nonlinear transmission lines.
Journal of Applied Physics, 99, 054901.
[link]
 H. S. Bhat and R. C. Fetecau (2006).
Lagrangian averaging for the 1D compressible Euler equations.
Discrete and Continuous Dynamical Systems B, 6 (5), pp. 9791000.
[link]
 H. S. Bhat and R. C. Fetecau (2006).
A Hamiltonian regularization of the Burgers equation.
Journal of Nonlinear Science, 16 (6), pp. 615638.
[link]
 H. S. Bhat, R. C. Fetecau, J. E. Marsden, K. Mohseni, and M. West (2005).
Lagrangian averaging for compressible fluids.
Multiscale Modeling and Simulation, 3 (4), pp. 818837.
[link]
Preprints
 H. S. Bhat and B. Sims (2012)
InvestorRank and an inverse problem for PageRank.
[pdf]
 H. S. Bhat and N. Kumar (2011)
Comparing exact Bayesian and BIC Markov order classifiers.
[pdf]
 H. S. Bhat and N. Kumar (2010)
On the derivation of the Bayesian Information Criterion.
[pdf]
