-
1“…Modern probability theory and its aplications…”
Book -
2“…Our analysis aims to provide a nuanced understanding of the interrelationships within multivariate total positivity and its implications for statistical analysis and probability theory.…”
Get full text
Get full text
info:eu-repo/semantics/article -
3Table of Contents: “…1 Introduction. 2 Signals and signal space. 3 Analysis and signaling. 4 Amplitude modulation and demodulation. 5 Angle modulation and demodulation. 6 Sampling and Analog to Digital Conversion. 7 Principles of digital data transmission. 8 Fundamentals of Probability Theory. 9 random processes and spectral analysis. 10 Performance Analysis of modulated communication systems Low Noise. 11 Performance Analysis of digital communication systems. 12 Spread Spectrum Communications. …”
Kit -
4by Fernández Ropero, Rosa María, Aguilera Aguilera, Pedro, Fernández Álvarez, Antonio, Rumí Rodríguez, Rafael, Salmerón Cerdán, Antonio“…Bayesian networks (BNs), also known as Bayesian belief networks or Bayes nets, are a kind of probabilistic graphical model that has become very popular to practitioners mainly due to the powerful probability theory involved, which makes them able to deal with a wide range of problems.The goal of this review is to show how BNs are being used in environmental modelling. …”
Published 2024
Get full text
info:eu-repo/semantics/article -
5by Li, Wenyuan. 1946-Table of Contents: “…. -- Appendix A. Elements of Probability Theory and Statistics. -- Appendix B. Elements of Fuzzy Mathematics. -- Appendix C. …”
Published 2011
Book -
6by Román Alcaide, Yolanda“…First, we give a brief introduction to the measurement spaces of probability theory in order to define the Lp spaces. Subsequently, we study the properties of these spaces, which are fundamental for the results of Sobolev’s spaces since they are formed by functions belonging to the Lp spaces. …”
Published 2021
Get full text
info:eu-repo/semantics/doctoralThesis