Introduction
Inference for Stochastic Processes
Introduction
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- 01 July 2016, pp. 243-244
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Lectures
Inference for Stochastic Processes
Lectures on inference for stochastic processes
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- 01 July 2016, pp. 244-245
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On metastatic progression of cancer
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- 01 July 2016, pp. 245-246
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Measuring the uncertainty of population forecasts: a comparison of two approaches
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- 01 July 2016, pp. 246-247
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Optimal estimation for finite samples in stochastic processes
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- 01 July 2016, pp. 247-249
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An overview of stochastic filtering theory
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- 01 July 2016, pp. 249-251
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Inference for stationary point processes
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- 01 July 2016, pp. 251-252
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Inference problems for random-parameter stochastic processes
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- 01 July 2016, pp. 252-253
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Statistical inference on discrete Markov fields
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- 01 July 2016, pp. 253-254
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Tail estimates motivated by extreme-value theory
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- 01 July 2016, pp. 254-256
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Estimation in a Galton-Watson process
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- 01 July 2016, p. 256
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Research Article
Sequential urn schemes and birth processes
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- 01 July 2016, pp. 257-279
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Behaviour of χ2 processes at extrema
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- 01 July 2016, pp. 280-297
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Further insight into the structure of bold and timid policies
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- 01 July 2016, pp. 298-307
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Exact distributions for shapes of random triangles in convex sets
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- 01 July 2016, pp. 308-329
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Macroscopic properties of a linear mosaic
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- 01 July 2016, pp. 330-346
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A class of correlated cumulative shock models
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- 01 July 2016, pp. 347-366
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On the optimal composition of electricity grids with unreliable units: solvable models
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- 01 July 2016, pp. 367-385
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Filtering of Markov renewal queues, IV: Flow processes in feedback queues
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- 01 July 2016, pp. 386-407
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On the multiserver queue with finite waiting room and controlled input
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- 01 July 2016, pp. 408-423
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