Spectral analysis is one of the most important tools of atmospheric physics. Patterns can be extracted from measurement series with the help of spectral analysis and used as a complement to their ...
Random fields and Gaussian processes constitute fundamental frameworks in modern probability theory and spatial statistics, providing robust tools for modelling complex dependencies over space and ...
SPECTRAL ANALYSIS OF MARKOV KERNELS AND APPLICATION TO THE CONVERGENCE RATE OF DISCRETE RANDOM WALKS
Journal of Applied Probability and Advances in Applied Probability have for four decades provided a forum for original research and reviews in applied probability, mapping the development of ...
Researchers at the Universitat Oberta de Catalunya and the Institute of Photonic Sciences have created a Raman spectral ...
Journal of Coastal Research, Special Issue 64: PROCEEDINGS OF THE 11th INTERNATIONAL COASTAL SYMPOSIUM ICS2011 (2011), pp. 781-785 (5 pages) Bedforms both reflect and influence shallow water ...
CATALOG DESCRIPTION: Advanced topics in random processes: point processes, Wiener processes; Markov processes, spectral representation, series expansion of random processes, linear filtering, Wiener ...
Understanding the properties of different materials is an important step in material design. X-ray absorption spectroscopy ...
The quality and safety of a biopharmaceutical is determined by how well its manufacture is controlled. The challenge is that the modeling methods used to develop control strategies sometimes struggle ...
CATALOG DESCRIPTION: Fundamentals of random variables; mean-squared estimation; limit theorems and convergence; definition of random processes; autocorrelation and stationarity; Gaussian and Poisson ...
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