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Physical (A)Causality
Determinism, Randomness and Uncaused Events...
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Analysis for Computer Scientists
Foundations, Methods, and Algorithms...
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International Symposium on Mathematics, Quantum Theory, and Cryptography
Proceedings of MQC 2019...
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Intelligent Human Computer Interaction
9th International Conference, IHCI 2017, Evry, France, December 11-13, 2017, Proceedings...
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Forecast Skill of Targeted Observations: a Singular Vector Based Diagnostic
No description available....
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Optimizing HPC Applications with Intel Cluster Tools
Hunting Petaflops...
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Solving PDEs in Python
The FEniCS Tutorial I...
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Understanding Machine Learning
From Theory to Algorithms...
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Essentials of Business Analytics
An Introduction to the Methodology and its Applications...
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Developing Graphics Frameworks with Python and OpenGL
...
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Managing Cloud Native Data on Kubernetes
Architecting Cloud Native Data Services Using Open Source Technology...
View Book →Simultaneous Prediction Intervals for Multiple Steps Ahead Forecasts in Vector Time Series
No description available....
View Book →Three Essays on Updating Forecasts in Vector Autoregression Models
Forecasting firms' earnings has long been an interest of market participants and academics. Traditional forecasting studies in a multivariate time series setting do not take into account that the timi...
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Spatial Thinking in Planning Practice
An Introduction to GIS...
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Efficient Learning Machines
Theories, Concepts, and Applications for Engineers and System Designers...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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Annotated Algorithms in Python
With applications in Physics, Biology, and Finance...
View Book →Forecasting with Bayesian Vector Autoregressions with Time Variation in the Mean
We develop a vector autoregressive model with time variation in the mean and the variance. The unobserved time-varying mean is assumed to follow a random walk and we also link it to long-term Consensu...
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Critical Data Literacy
Strategies to Effectively Interpret and Evaluate Data Visualizations...
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Dynamic Baysian Models for Vector Time Series Analysis and Forecasting
No description available....
View Book →Evaluating the Accuracy of Forecasts from Vector Autoregressions
No description available....
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Defense against the Black Arts
How Hackers Do What They Do and How to Protect against It...
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Data Parallel C++
Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL...
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Problem Solving with Algorithms and Data Structures
...
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The Big Book of Machine Learning Use Cases
Your complete how-to guide to putting ML to work - plus code samples and notebooks...
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Graph Databases
New Opportunities for Connected Data...
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Enhanced Living Environments
Algorithms, Architectures, Platforms, and Systems...
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SQL Server Execution Plans, 3rd Edition
For SQL Server 2008 through to 2017 and Azure SQL Database...
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New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
View Book →Techniques of Forecasting Using Vector Autoregressions
No description available....
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Forecasting and Assessing Risk of Individual Electricity Peaks
...
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Solar Particle Radiation Storms Forecasting and Analysis
The HESPERIA HORIZON 2020 Project and Beyond...
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Anisotropy Across Fields and Scales
...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Data Science with Microsoft SQL Server 2016
...
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Vector-autoregression Forecast Models for the Third District States
No description available....
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Algorithmic Graph Theory and Sage
...
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Health of People, Health of Planet and Our Responsibility
Climate Change, Air Pollution and Health...
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Clinical Text Mining
Secondary Use of Electronic Patient Records...
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The Big Data Agenda
Data Ethics and Critical Data Studies...
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Ambisonics
A Practical 3D Audio Theory for Recording, Studio Production, Sound Reinforcement, and Virtual Reality...
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Pro TBB
C++ Parallel Programming with Threading Building Blocks...
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Bayesian Methods in the Search for MH370
...
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Vector-Line-Differentiation in orthogonal curvilinear co-ordinates in dynamic meteorology and weathe
No description available....
View Book →Forecasting with Vector Nonlinear Time Series Models
No description available....
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Representation Learning for Natural Language Processing
...
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Spectral and High Order Methods for Partial Differential Equations ICOSAHOM 2018
Selected Papers from the ICOSAHOM Conference, London, UK, July 9-13, 2018...
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Signal Computing
Digital Signals in the Software Domain...
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Variant Construction from Theoretical Foundation to Applications
...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Digital Video Concepts, Methods, and Metrics
Quality, Compression, Performance, and Power Trade-off Analysis...
View Book →Support Vector Machines Based Methods for Time Series Forecasting
No description available....
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Multi-Step Ahead Forecasting of Vector Time Series
This paper develops the theory of multi-step ahead forecasting for vector time series that exhibit temporal nonstationarity and co-integration. We treat the case of a semi-infinite past by developing ...
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Ionospheric Multi-Spacecraft Analysis Tools
Approaches for Deriving Ionospheric Parameters...
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Optimizing software in C++
An optimization guide for Windows, Linux and Mac platforms...
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Forecasting with generalized Bayesian vector autoregressions
No description available....
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Foundations of Machine Learning
...
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Linear Selection Indices in Modern Plant Breeding
...
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On Robust Forecasting in Dynamic Vector Time Series Models
No description available....
View Book →The Vector Innovation Structural Time Series Framework
No description available....
View Book →PostGIS Cookbook
Create and manage spatial data with PostGIS Key Features Import and export geographic data from the PostGIS database using the available tools Maintain, optimize, and fine-tune spatial data for long-t...
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Language Technologies for the Challenges of the Digital Age
27th International Conference, GSCL 2017, Berlin, Germany, September 13-14, 2017, Proceedings...
View Book →Forecasting in Vector Autoregressions with Many Predictors
This paper addresses the issue of improving the forecasting performance of vector autoregressions (VARs) when the set of available predictors is inconveniently large to handle with methods and diagnos...
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Error-Correction Coding and Decoding
Bounds, Codes, Decoders, Analysis and Applications...
View Book →Univariate and Multivariate ARIMA Versus Vector Autoregression Forecasting
No description available....
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Programming for Computations - Python
A Gentle Introduction to Numerical Simulations with Python 3.6...
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Graph Databases For Beginners
The #1 Platform for Connected Data...
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Statistics with Julia
Fundamentals for Data Science, Machine Learning and Artificial Intelligence...
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Intel Xeon Phi Coprocessor Architecture and Tools
The Guide for Application Developers...
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Software for Exascale Computing - SPPEXA 2016-2019
...
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