Every reference with a DOI in the deposited reference list resolved to a known
work in Crossref or DataCite at the dated check, and none carried a retraction,
withdrawal, or removal notice.
The 50 checked references that resolve
resolves10.2307/2676248Kalman Filtering of Generalized Vasicek Term Structure Models
resolves10.1111/1467-9868.00336Econometric Analysis of Realized Volatility and its Use in Estimating Stochastic Volatility Models
resolves10.1137/0308012Existence of Optimal Strategies Based on Specified Information, for a Class of Stochastic Decision Problems
resolves10.1142/7736Stochastic Filtering with Applications in Finance
resolves10.2307/3318714Approximate Nonlinear Filtering by Projection on Exponential Manifolds of Densities
resolves10.1109/9.661075A differential geometric approach to nonlinear filtering: the projection filter
resolves10.3905/jfi.1993.408090Maximum Likelihood Estimation for a Multifactor Equilibrium Model of the Term Structure of Interest Rates
resolves10.1214/12-AAP896Robust filtering: Correlated noise and multidimensional observation
resolves10.1137/19M1284117Deep Neural Networks, Generic Universal Interpolation, and Controlled ODEs
resolves10.1007/BF00531444On a multiplicative functional transformation arising in nonlinear filtering theory
resolves10.1137/0325016Pathwise Nonlinear Filtering for Nondegenerate Diffusions with Noise Correlation
resolves10.1007/s00780-011-0153-0Pricing and hedging of credit derivatives via the innovations approach to nonlinear filtering
resolves10.1137/20M1314884Memory Capacity of Neural Networks with Threshold and Rectified Linear Unit Activations
resolves10.1137/0302028Some Applications of Stochastic Differential Equations to Optimal Nonlinear Filtering
The 73 references without a DOI — listed, not checked
no DOI — not checkedDesigning universal causal deep learning models: The geometric (hyper)transformer
no DOI — not checkedref2
no DOI — not checkedref3
no DOI — not checkedOptimal projection filters with information geometry
no DOI — not checkedFiltering dynamical systems using observations of statistics
no DOI — not checkedref7
no DOI — not checkedref9
no DOI — not checkedref10
no DOI — not checkedConvex analysis and monotone operator theory in Hilbert spaces
no DOI — not checkedAn efficient Monte Carlo scheme for Zakai equations
no DOI — not checkedRecurrent neural networks and universal approximation of bayesian filters
no DOI — not checkedDistances de L�vy et extensions des th�orem�s de la limite centrale et de Glivenko-Cantelli
no DOI — not checkedComputation of conditional expectations with guarantees
no DOI — not checkedref27
no DOI — not checkedFunctional It� calculus and stochastic integral representation of martingales
no DOI — not checkedGru-ode-bayes: Continuous modeling of sporadically-observed time series
no DOI — not checkedref39
no DOI — not checkedNonlinear filtering: Interacting particle resolution
no DOI — not checkedMeasure-valued processes and interacting particle systems. application to nonlinear filtering problems
no DOI — not checkedMean field simulation for Monte Carlo integration
no DOI — not checkedref43
no DOI — not checkedref47
no DOI — not checkedref48
no DOI — not checkedref51
no DOI — not checkedref54
no DOI — not checkedA class of Wasserstein metrics for probability distributions
no DOI — not checkedApproximation bounds for random neural networks and reservoir systems
no DOI — not checkedFilling riemannian manifolds
no DOI — not checkedref60
no DOI — not checkedref62
no DOI — not checkedDeep robust principal component analysis for positive semidefinite matrices
no DOI — not checkedNeural jump ordinary differential equations: Consistent continuous-time prediction and filtering
no DOI — not checkedDeep Kalman filter: Simultaneous multi-sensor integration and modelling; a gnss/imu case study
no DOI — not checkedref68
no DOI — not checkedref69
no DOI — not checkedFoundations of modern probability
no DOI — not checkedUniversal Approximation with Deep Narrow Networks
no DOI — not checkedref76
no DOI — not checkedSmall transformers compute universal metric embeddings
no DOI — not checkedref79
no DOI — not checkedUniversal approximation theorems for differentiable geometric deep learning
no DOI — not checkedStructured inference networks for nonlinear state space models
no DOI — not checkedref82
no DOI — not checkedA robust discrete state approximation to the optimal nonlinear filter for a diffusion
no DOI — not checkedref85
no DOI — not checkedLinear algebra and its applications
no DOI — not checkedParameter estimation and model selection in computational biology
no DOI — not checkedStatistics of random processes
no DOI — not checkedDeep vs. shallow networks: An approximation theory perspective
no DOI — not checkedref96
no DOI — not checkedIterated block particle filter for high-dimensional parameter learning: Beating the curse of dimensionality
no DOI — not checkedProvable memorization via deep neural networks using sub-linear parameters
no DOI — not checkedLocal lipschitzness of parameterization of gaussians in wasserstein space
no DOI — not checkedref102
no DOI — not checkedref103
no DOI — not checkedDimensions, embeddings, and attractors
no DOI — not checkedBlack-box variational inference for stochastic differential equations
no DOI — not checkedFiltering electrocardiogram signals using the extended kalman filter
no DOI — not checkedCharacterization of the variation spaces corresponding to shallow neural networks
no DOI — not checkedref110
no DOI — not checkedref111
no DOI — not checkedOptimum nonlinear systems which bring about a separation of a signal with constant parameters from noise
no DOI — not checkedApplication of the markov processes theory to optimal filtering
no DOI — not checkedref114
no DOI — not checkedref115
no DOI — not checkedref117
no DOI — not checkedSome explicit formulae in a problem on "disorder
no DOI — not checkedOptimal stopping rules
no DOI — not checkedref120
no DOI — not checkedref121
no DOI — not checkedOptimal approximation of continuous functions by very deep relu networks
no DOI — not checkedThe phase diagram of approximation rates for deep neural networks
no DOI — not checkedNumerical analysis of a time discretized method for nonlinear filtering problem with l�vy process observations
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