Stochastic Processes
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Summary
Stochastic processes are probabilistic models of data streams such as speech, audio and video signals, stock market prices, and measurements of physical phenomena by digital sensors such as medical instruments, GPS receivers, or seismographs that are essential for understanding phenomena and processing information.
- Published
- 2018-11-14
- Cited by
- 4,693
- References
- 68
- Access
- Open access
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:126211582
References
- Stable Paretian Models in Finance
- Stochastic Calculus for Finance II: Continuous-Time Models
- Financial Econometrics: From Basics to Advanced Modeling Techniques
- Random Signals: Detection, Estimation and Data Analysis
- Introduction to random signals and applied kalman filtering (3rd ed
- Random processes : a mathematical approach for engineers
- Discrete Random Signals and Statistical Signal Processing
- Fundamentals of Applied Probability Theory
- Probability with Martingales
- An Introduction to Kolmogorov Complexity and Its Applications
- Networks: An Introduction
- Expectation Propagation for approximate Bayesian inference
- A First Course on Stochastic Processes
- The Variance Gamma (V.G.) Model for Share Market Returns
- The minimum size of a finite subspace partition
- Statistical properties of stochastic nonlinear dynamical models of single spiking neurons and neural networks.
- Modelling the persistence of conditional variances
- A new interpretation of information rate
- A Measure of Asymptotic Efficiency for Tests of a Hypothesis Based on the sum of Observations
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
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