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Financial econometrics has developed into a very fruitful and vibrant research area in the last two decades. The availability of good data promotes research in this area, specially aided by online data and high-frequency data. These two characteristics of financial data also create challenges for researchers that are different from classical macro-econometric and micro-econometric problems. This Special Issue is dedicated to research topics that are relevant for analyzing financial data. We have gathered six articles under this theme.
asset price bubbles --- explosive regimes --- multivariate nonlinear time series --- steady state distributions --- TVAR models --- bond risk premia --- affine term structure models --- risk prices --- stochastic conditional duration --- threshold --- Bayesian inference --- Markov-Chain Monte Carlo --- probability integral transform --- deviance information criterion --- Mallows criterion --- model averaging --- model selection --- shrinkage --- tuning parameter choice --- threshold auto-regression --- Markov process --- stationarity --- volatility forecasting --- realized volatility --- linear programming estimator --- Tukey’s power transformation --- nonlinear nonnegative autoregression --- forecast comparisons --- n/a
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This book includes papers in cross-disciplinary applications of mathematical modelling: from medicine to linguistics, social problems, and more. Based on cutting-edge research, each chapter is focused on a different problem of modelling human behaviour or engineering problems at different levels. The reader would find this book to be a useful reference in identifying problems of interest in social, medicine and engineering sciences, and in developing mathematical models that could be used to successfully predict behaviours and obtain practical information for specialised practitioners. This book is a must-read for anyone interested in the new developments of applied mathematics in connection with epidemics, medical modelling, social issues, random differential equations and numerical methods.
human behaviour --- organisational risk --- multi-criteria decision-making --- DEMATEL --- bottling process --- cellular automata --- game of life --- brain dynamics --- random non-autonomous second order linear differential equation --- mean square analytic solution --- random power series --- uncertainty quantification --- systems of nonlinear equations --- iterative methods --- Newton’s method --- order of convergence --- computational efficiency --- basin of attraction --- F-110 frigate --- decision-making --- ASW --- anti-torpedo decoy --- AHP --- uncertainty modelling --- Chikungunya disease --- mathematical modeling --- nonlinear dynamical systems --- numerical simulations --- parameter estimation --- Markov chain Monte Carlo --- block preconditioner --- generalized eigenvalue problem --- neutron diffusion equation --- modified block Newton method --- bone repair --- macrophages --- immune system --- cytokines --- stem cells --- exponential polynomial --- discrete dynamical systems --- convergence --- Hidden Markov models --- mathematical linguistics --- Voynich Manuscript --- IPV --- violence index --- independence index --- model --- ode
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Challenging problems arise in all segments of energy industries—generation, transmission, distribution and consumption. Optimization models and methods play a key role in offering decision/policy makers better information to assist them in making sounder decisions at different levels, ranging from operational to strategic planning.
multi-objective optimization --- nondominated sorting genetic algorithm (NSGA) --- multi-criteria decision making (MCDM) --- technique for the order of preference by similarity to the ideal solution (TOPSIS) --- life cycle cost --- scenario-based multistage stochastic programming --- energy system management model --- stochastic robust optimization --- electric-power structure adjustment --- energy conservation and emissions reduction --- building microgrid --- component outage --- energy network --- islanded microgrids --- microgrid operation --- re-optimization and rescheduling --- portfolio analysis --- semi-mean-absolute deviation model --- fuzzy set theory --- optimal power generation mix --- oil storage plants --- domino effect --- firefighting --- optimization --- graph theory --- influence diagram --- heating ventilation and air-conditioning (HVAC) --- demand side management --- occupancy-based control --- predicted mean vote (PMV) --- optimization --- electrical distribution systems --- meshed topology --- mixed integer linear programing --- stochastic programming --- variable renewable power --- flexibility option --- integrated energy system --- generation expansion planning --- combined heat and power --- feasible operation region --- generation efficiency --- mixed integer linear programming --- net demand --- wind power forecasting --- long-term forecasting --- intermittent sources --- Markov chain Monte Carlo
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