Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Expectation-maximization algorithms. --- Estimation theory. --- Missing observations (Statistics) --- Théorie de l'estimation --- Observations manquantes (Statistique) --- Expectation-maximization algorithms --- Estimation theory --- Data, Missing (Statistics) --- Missing data (Statistics) --- Missing values (Statistics) --- Observations, Missing (Statistics) --- Values, Missing (Statistics) --- Multiple imputation (Statistics) --- EM algorithms --- Estimating techniques --- Missing observations (Statistics). --- Théorie de l'estimation --- Mathematical statistics --- #SBIB:303H520 --- #SBIB:AANKOOP --- Multivariate analysis --- Algorithms --- Least squares --- Stochastic processes --- Methoden sociale wetenschappen: techniek van de analyse, algemeen

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

In recent years, technological breakthroughs have greatly enhanced our ability to understand the complex world of molecular biology. Rapid developments in genomic profiling techniques, such as high-throughput sequencing, have brought new opportunities and challenges to the fields of computational biology and bioinformatics. Furthermore, by combining genomic profiling techniques with other experimental techniques, many powerful approaches (e.g., RNA-Seq, Chips-Seq, single-cell assays, and Hi-C) have been developed in order to help explore complex biological systems. As a result of the increasing availability of genomic datasets, in terms of both volume and variety, the analysis of such data has become a critical challenge as well as a topic of great interest. Therefore, statistical methods that address the problems associated with these newly developed techniques are in high demand. This book includes a number of studies that highlight the state-of-the-art statistical methods for the analysis of genomic data and explore future directions for improvement.

multiple cancer types --- integrative analysis --- omics data --- prognosis modeling --- classification --- gene set enrichment analysis --- boosting --- kernel method --- Bayes factor --- Bayesian mixed-effect model --- CpG sites --- DNA methylation --- Ordinal responses --- GEE --- lipid–environment interaction --- longitudinal lipidomics study --- penalized variable selection --- convolutional neural networks --- deep learning --- feed-forward neural networks --- machine learning --- gene regulatory network --- nonparanormal graphical model --- network substructure --- false discovery rate control --- gaussian finite mixture model --- clustering analysis --- uncertainty --- expectation-maximization algorithm --- classification boundary --- gene expression --- RNA-seq --- n/a --- lipid-environment interaction

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book is comprised of articles published in a Special Issue of the Journal of Risk and Financial Management entitled "Frontiers in Asset Pricing" with Guest Editors Professor James W. Kolari and Professor Seppo Pynnonen. The book contains papers in various areas related to asset pricing: (1) models; (2) multifactors; (3) theory; (4) empirical tests; (5) applications; (6) other asset classes; and (7) international tests.

Philosophy --- forecasting --- commodity market --- metals --- term structure --- yield spread --- carry cost rate --- hedge ratio --- conditional hedge ratio --- bias adjustments --- earnings --- announcements --- options --- informed trading --- net buying pressure --- volatility --- direction --- at-the-money --- out-of-the-money --- deep-out-of-the-money --- asset pricing --- S&P 500 index --- survivor stocks --- risk factors --- momentum --- Bitcoin --- cryptocurrencies --- outliers --- GARCH-jump --- time-varying jumps --- zero-beta CAPM --- return dispersion --- expectation-maximization (EM) regression --- latent variable --- free-boundary problem --- pairs trading --- stochastic control --- trading strategies --- transaction costs --- transaction regions --- finance --- economics --- event study --- clustered event days --- cross-sectional correlation --- cumulated ranks --- rank test --- standardized abnormal returns --- market index --- market factor --- multifactors --- efficient portfolios --- efficient market hypothesis --- unit root --- spectral analysis --- abnormal returns --- pricing --- market volume --- portfolio profitability --- Poisson model

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Image analysis can be applied to rich and assorted scenarios; therefore, the aim of this recent research field is not only to mimic the human vision system. Image analysis is the main methods that computers are using today, and there is body of knowledge that they will be able to manage in a totally unsupervised manner in future, thanks to their artificial intelligence. The articles published in the book clearly show such a future.

Newton-Raphson’s method --- chaos --- image encryption/decryption --- security analysis --- image encryption --- cryptanalysis --- hyper-chaotic --- ribonucleic acid --- color image encryption --- transformed Zigzag --- image segmentation --- computer-assisted diagnosis --- machine learning --- spleen injury detection --- hyperchaotic --- permutation --- diffusion --- multiple bit operation --- circular-step wedge --- contrast-detail --- mutual information --- visible ratio --- anode heel effect --- prior information --- entropy --- fwi --- regularization --- inverse problems --- bat optimization --- human crowd behavior (HCB) --- improved entropy (IE) --- Jaccard similarity --- multi-person counting --- particles gradient motion (PGM) --- speeded up robust features (SURF) --- Retinex --- image enhancement --- gamma correction --- low-light image --- HSV color space --- scan route --- Hilbert curve --- run-length-based entropy coding --- image and video compression --- secure communication --- cellular neural network --- power-divergence measure --- computed tomography --- iterative reconstruction --- maximum-likelihood expectation-maximization method --- continuous-time image reconstruction --- n/a --- Newton-Raphson's method

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Buildings account for more than one-third of the global final energy consumption and CO2 emissions. The building sector offers a significant potential in the transition towards the decarbonisation of societies. To achieve this goal, different concepts and implementations of Net-Zero/Positive Energy Buildings and Districts (NZPEBD) have emerged in the last years and are still in progress. This book is the collection of the articles published in the Special Issue “Net-Zero/Positive Energy Buildings and Districts” of the Buildings journal. This reprint includes 17 research articles covering different aspects of Net-Zero/Positive Energy Buildings and Districts planning, technologies, economics, building design and retrofitting, citizen engagement, and collection of energy data.

Research & information: general --- Physics --- energy storage --- hydrogen --- power-to-gas --- reversible solid oxide cell --- optimization --- mixed integer linear programming --- MILP --- microgrid --- PV --- peer to peer --- self-consumption --- energy community --- local market --- PVT --- water-based PVT --- techno-economic analysis --- digital mapping --- seasonal thermal energy storage --- waste incineration --- district heating --- waste heat --- energy retrofit --- heat pump --- CO2 emissions --- building stock --- PED --- energy flexibility --- socioeconomic analysis --- regions --- regulation --- renewable energy --- urban environment --- climatic zones --- gaussian mixture model --- Expectation-Maximization --- urban building energy modeling --- data acquisition --- building optimisation design --- Saharan --- cool climate --- genetic algorithm --- low energy buildings --- spatial --- temporal --- energy use --- smart city --- net‐ and nearly‐zero‐energy buildings --- positive energy communities and districts --- renewable energy integration --- energy flexibility in buildings and communities --- simulation and optimization methods --- practical experience from demo sites --- buildings --- construction --- efficient homes --- energy efficiency --- GHG emissions --- homes --- net-zero energy (NZE) --- NZE building technology --- positive energy districts --- citizen --- cities --- participation --- citizen engagement --- stakeholder engagement --- urban energy transition --- bi-directional grid --- urban photovoltaic systems --- energy communities --- agent based modelling --- techno-economic modelling --- market design --- distributed renewable energy --- characterization --- review --- text mining --- nearly zero-energy building --- container building --- building design --- energy simulation --- climate study --- plus energy buildings --- plus energy districts --- energy sharing --- energy trading --- clean energy package --- energy storage --- hydrogen --- power-to-gas --- reversible solid oxide cell --- optimization --- mixed integer linear programming --- MILP --- microgrid --- PV --- peer to peer --- self-consumption --- energy community --- local market --- PVT --- water-based PVT --- techno-economic analysis --- digital mapping --- seasonal thermal energy storage --- waste incineration --- district heating --- waste heat --- energy retrofit --- heat pump --- CO2 emissions --- building stock --- PED --- energy flexibility --- socioeconomic analysis --- regions --- regulation --- renewable energy --- urban environment --- climatic zones --- gaussian mixture model --- Expectation-Maximization --- urban building energy modeling --- data acquisition --- building optimisation design --- Saharan --- cool climate --- genetic algorithm --- low energy buildings --- spatial --- temporal --- energy use --- smart city --- net‐ and nearly‐zero‐energy buildings --- positive energy communities and districts --- renewable energy integration --- energy flexibility in buildings and communities --- simulation and optimization methods --- practical experience from demo sites --- buildings --- construction --- efficient homes --- energy efficiency --- GHG emissions --- homes --- net-zero energy (NZE) --- NZE building technology --- positive energy districts --- citizen --- cities --- participation --- citizen engagement --- stakeholder engagement --- urban energy transition --- bi-directional grid --- urban photovoltaic systems --- energy communities --- agent based modelling --- techno-economic modelling --- market design --- distributed renewable energy --- characterization --- review --- text mining --- nearly zero-energy building --- container building --- building design --- energy simulation --- climate study --- plus energy buildings --- plus energy districts --- energy sharing --- energy trading --- clean energy package