Stochastic Processes and Their Applications In Honor of Prof. Sally McClean
Materialtyp:
ArtikelUtgivningsinformation: MDPI - Multidisciplinary Digital Publishing Institute 2025Beskrivning: 1 electronic resource (216 p.)Innehållstyp: - text
- computer
- online resource
- 9783725832231
- 9783725832248
- Reference, Information and Interdisciplinary subjects
- Research and information: general
- Mathematics and Science
- COVID-19
- DEA
- ESS
- Euler distribution
- Heine distribution
- Kalman filters
- Kolmogorov equation
- Markov chain
- Markov chains
- Markov model
- Markov processes
- Markov stochastic process
- Markov-type model
- Smart Homes
- asymptotic behavior
- asymptotic results
- attainability
- bilevel optimization
- calibration
- clear channel assessment
- coexistence
- continuous time
- convolution of gamma mixture models
- convolution product
- cost evaluation
- differential equation
- dynamical systems
- epidemiological modelling
- ergodicity coefficient
- estimation
- health insurance
- healthcare
- intergenerational social mobility
- license assisted access
- long-term care
- maintainability
- manpower planning
- negative q-binomial distribution
- non homogeneous
- nonhomogeneous Markov systems
- perturbation theory
- population structure
- process mining
- q-binomial distribution
- q-factorial moments
- q-logarithmic distribution
- q-poisson distribution
- rate of convergence
- regime switching processes
- resource allocation
- robustness
- semi-Markov model
- semi-Markov processes
- semi-Markov systems
- sensitiv
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Mathematics is publishing a Special Issue to honor Prof. Sally McClean on the occasion of her semi-retirement and in recognition of her important research contributions. Sally Ida McClean was born in Belfast and received her first degree, an M.A. in Mathematics, from the University of Oxford in 1970. She earned an M.Sc. in Mathematical Statistics and Operations Research from Cardiff University in 1972, and completed her Ph.D. in 1976 at Ulster University at Coleraine. Her contribution to mathematical modeling in healthcare planning is enormous, and, in particular, her studies on improving the wellbeing of the elderly are greatly respected amongst her peers. She is currently a Professor of Mathematics at Ulster University. Her main research interests are in Stochastic Modeling and Optimization for Healthcare Planning and Computer Science. Stochastic processes are some of the most important tools in many areas of science, such as biology, operational research, the social sciences, stochastic finance, etc. Important characteristics in these areas evolve with time in a relatively random way, and since stochastic processes are mainly sequences or families of random variables, in which their index represents time, they are the natural tool to use. The theory and applications of stochastic processes emerged in the genesis of one of the richest ones, that is, Brownian motion. This was rather unexpected since Brownian motion is a beautiful object which is at the same time a martingale, a Gaussian process, a diffusion, a Levy process, a Markov process, etc.—concepts that were discovered quite latter in the evolution of time.
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