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SEQUENTIAL MONTE CARLO METHODS FOR PARAMETER ESTIMATION, DYNAMIC STATE ESTIMATION AND CONTROL IN POWER SYSTEMS
DEEP LEARNING FOR IMAGE PROCESSING WITH APPLICATIONS TO MEDICAL IMAGING
LOW DIMENSIONAL SIGNAL SETS FOR RADAR APPLICATIONS
Statistical Experimental Design and Modeling for Complex Data
Gaussian Process Assisted Active Learning of Physical Laws
WIENER-HOPF FACTORIZATION FOR TIME-INHOMOGENEOUS MARKOV CHAINS AND BAYESIAN ESTIMATIONS FOR DIAGONALIZABLE BILINEAR STOCHASTIC PARTIAL DIFFERENTIAL EQUATIONS
Fast Automatic Bayesian Cubature Using Matching Kernels and Designs
RUNTIME FOR PERFORMING EXACT TESTS ON THE PI STATISTICAL MODEL FOR RANDOM GRAPHS
Latent Price Model for Market Microstructure: Estimation and Simulation
Machine Learning On Graphs
Factors Influencing the Level of Detection of Testing Listeria monocytogenes in Ice Cream
Algorithms for Discrete Data in Statistics and Operations Research