Search Results - empirical algorithmics

Nuclear Magnetic Resonance Spectroscopy Of Liquid Crystals.

Table of Contents: “…Spectral analysis using Evolutionary Algorithms -- 1. 7. Conclusions -- Acknowledgments -- References -- 2. …”
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Modeling semi-arid water-soil-vegetation systems by Wang, Xixi

Table of Contents: “…3.6 Topsoil erosion -- 3.6.1 Aeolian erosion -- 3.6.2 Fluvial erosion -- 3.6.3 Effects of physical and biological crusts on erosion -- 3.7 Summary and discussion -- References -- Chapter 4 Mathematical models -- 4.1 Overview -- 4.2 Comparisons of existing models -- 4.2.1 HYDRUS-1D -- 4.2.2 SWAT -- 4.2.3 SWAP -- 4.2.4 Comparisons -- 4.3 Model selection -- 4.4 Development of new algorithms -- 4.4.1 Physical crusts -- 4.4.2 Biocrusts -- 4.4.3 Low-moisture soils -- 4.4.4 Dry soil layers -- 4.4.5 The SWAP-E model -- 4.5 Measures of model performance -- 4.5.1 Empirical judgement…”
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Handbook of safety principles

Table of Contents: “…Automobile Safety / Jan-Erik Holmberg -- 4.5. Empirical Research on use and Efficiency / Jan-Erik Holmberg -- 4.6. …”
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Introduction to OFDM receiver design and simulation by Liu, Y. J.

Table of Contents: “…References-7 Error-Correcting Codes and Interleaver-7.1 Introduction-7.2 Linear Block Codes-7.2.1 Generator Matrix-7.2.2 Parity Check Matrix-7.2.3 Syndrome-7.2.4 Error Correction-7.2.5 Hamming Codes-7.3 Cyclic Codes-7.3.1 Generator Polynomial-7.3.2 Syndrome Polynomial-7.4 Convolutional Code-7.4.1 Convolutional Encoder-7.4.2 Convolutional Decoder and Viterbi Algorithm-7.4.3 Convolutional Code in the IEEE 802.11a-7.4.4 Punctured Convolutional Codes-7.5 Interleaver-7.5.1 Illustration of an Interleaver-7.5.2 Interleaver Used in the IEEE 802.11a…”
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Language learnability and language development by Pinker, Steven, 1954-

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Introduction to Bayesian estimation and copula models of dependence by Shemyakin, Arkady

Table of Contents: “…2.6.3 Empirical Bayes2.7 Conjugate Distributions; 2.7.1 Exponential Family; 2.7.2 Poisson Likelihood; 2.7.3 Table of Conjugate Distributions; References; 3 Background for Markov Chain Monte Carlo; 3.1 Randomization; 3.1.1 Rolling Dice; 3.1.2 Two Envelopes Revisited; 3.2 Random Number Generation; 3.2.1 Pseudo-random Numbers; 3.2.2 Inverse Transform Method; 3.2.3 General Transformation Methods; 3.2.4 Accept-Reject Methods; 3.3 Monte Carlo Integration; 3.3.1 Numerical Integration; 3.3.2 Estimating Moments; 3.3.3 Estimating Probabilities; 3.3.4 Simulating Multiple Futures.…”
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Handbook of monte carlo methods by Kroese, Dirk P., Taimre, Thomas, Botev, Zdravko I.

Table of Contents: “…Cover13; -- Contents -- Preface -- Acknowledgments -- 1 Uniform Random Number Generation -- 1.1 Random Numbers -- 1.1.1 Properties of a Good Random Number Generator -- 1.1.2 Choosing a Good Random Number Generator -- 1.2 Generators Based on Linear Recurrences -- 1.2.1 Linear Congruential Generators -- 1.2.2 Multiple-Recursive Generators -- 1.2.3 Matrix Congruential Generators -- 1.2.4 Modulo 2 Linear Generators -- 1.3 Combined Generators -- 1.4 Other Generators -- 1.5 Tests for Random Number Generators -- 1.5.1 Spectral Test -- 1.5.2 Empirical Tests -- References -- 2 Quasirandom Number Generation -- 2.1 Multidimensional Integration -- 2.2 Van der Corput and Digital Sequences -- 2.3 Halton Sequences -- 2.4 Faure Sequences -- 2.5 Sobol' Sequences -- 2.6 Lattice Methods -- 2.7 Randomization and Scrambling -- References -- 3 Random Variable Generation -- 3.1 Generic Algorithms Based on Common Transformations -- 3.1.1 Inverse-Transform Method -- 3.1.2 Other Transformation Methods -- 3.1.3 Table Lookup Method -- 3.1.4 Alias Method -- 3.1.5 Acceptance-Rejection Method -- 3.1.6 Ratio of Uniforms Method -- 3.2 Generation Methods for Multivariate Random Variables -- 3.2.1 Copulas -- 3.3 Generation Methods for Various Random Objects -- 3.3.1 Generating Order Statistics -- 3.3.2 Generating Uniform Random Vectors in a Simplex -- 3.3.3 Generating Random Vectors Uniformly Distributed in a Unit Hyperball and Hypersphere -- 3.3.4 Generating Random Vectors Uniformly Distributed in a Hyperellipsoid -- 3.3.5 Uniform Sampling on a Curve -- 3.3.6 Uniform Sampling on a Surface -- 3.3.7 Generating Random Permutations -- 3.3.8 Exact Sampling From a Conditional Bernoulli Distribution -- References -- 4 Probability Distributions -- 4.1 Discrete Distributions -- 4.1.1 Bernoulli Distribution -- 4.1.2 Binomial Distribution -- 4.1.3 Geometric Distribution -- 4.1.4 Hypergeometric Distribution -- 4.1.5 Negative Binomial Distribution -- 4.1.6 Phase-Type Distribution (Discrete Case) -- 4.1.7 Poisson Distribution -- 4.1.8 Uniform Distribution (Discrete Case) -- 4.2 Continuous Distributions -- 4.2.1 Beta Distribution -- 4.2.2 Cauchy Distribution -- 4.2.3 Exponential Distribution -- 4.2.4 F Distribution -- 4.2.5 Fr233;chet Distribution -- 4.2.6 Gamma Distribution -- 4.2.7 Gumbel Distribution -- 4.2.8 Laplace Distribution -- 4.2.9 Logistic Distribution -- 4.2.10 Log-Normal Distribution -- 4.2.11 Normal Distribution -- 4.2.12 Pareto Distribution -- 4.2.13 Phase-Type Distribution (Continuous Case) -- 4.2.14 Stable Distribution -- 4.2.15 Student's t Distribution -- 4.2.16 Uniform Distribution (Continuous Case) -- 4.2.17 Wald Distribution -- 4.2.18 Weibull Distribution -- 4.3 Multivariate Distributions -- 4.3.1 Dirichlet Distribution -- 4.3.2 Multinomial Distribution -- 4.3.3 Multivariate Normal Distribution -- 4.3.4 Multivariate Student's t Distribution -- 4.3.5 Wishart Distribution -- References -- 5 Random Process Generation -- 5.1 Gaussian Processes -- 5.1.1 Markovian Gaussian Processes -- 5.1.2 Stationary Gaussian Processes and the FFT -- 5.2 Markov Chains -- 5.3 Markov Jump Processes -- 5.4 Poisson Processes -- 5.4.1 Compound Poisson Process -- 5.5 Wiener Process and Brownian Motion -- 5.6 Stochastic Differential Eq.…”
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Reproducibility : principles, problems, practices, and prospects

Table of Contents: “…6.3 Extending BMS (and NML#): BMS* -- 6.4 Replication Variance and Reproducibility -- 6.4.1 Within- and Between-Setting Replication Variance and the True State of the World -- 6.4.2 Reproducibility -- 6.4.3 A Toy Example -- 6.5 Final Remark -- References -- Chapter 7 Reproducibility from the Perspective of Meta-Analysis -- 7.1 Introduction -- 7.2 Basics of Meta-Analysis -- 7.2.1 Conceptual Preliminaries -- 7.2.2 Systematic Reviews -- 7.2.3 Fixed-Effects and Random-Effects Meta-Analysis -- 7.2.4 Biases in Meta-Analysis -- 7.3 Meta-Analysis of Mind-Matter Experiments: A Case Study -- 7.3.1 Statistical Modeling -- 7.3.2 Analysis of the Ramp -- N Data -- 7.4 Summary -- References -- Chapter 8 Why Are There So Many Clustering Algorithms, and How Valid Are Their Results? -- 8.1 Introduction -- 8.1.1 Data Mining and Knowledge Discovery -- 8.1.2 Choices and Assumptions -- 8.2 Supervised and Unsupervised Learning -- 8.3 Cluster Validity as Easiness in Classification -- 8.3.1 Instance Easiness for Supervised Learning -- 8.3.2 Clustering-Quality Measures Based on Supervised Learning -- 8.3.3 Using the Clustering-Quality Measures mp and mc -- 8.4 Applying Clustering-Quality Measures to Data -- 8.4.1 Clustering Based on Prediction Strength -- 8.4.2 Studies with Synthetic Data -- 8.4.3 Studies with Empirical Data -- 8.5 Other Clustering Models -- 8.5.1 Hierarchical Clustering -- 8.5.2 Fuzzy Clustering -- 8.6 Summary -- References -- Part III: Physical Sciences -- Chapter 9 Facilitating Reproducibility in ScientificComputing: Principles and Practice -- 9.1 Introduction -- 9.2 A Culture of Reproducibility -- 9.2.1. …”
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Business models : innovation, digital transformation, and analytics

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Data Mining and Statistics for Decision Making by Tufféry, Stéphane, Tufféry, Stéphane

Table of Contents: “…Learning algorithms -- 8.7. The main neural networks -- Automatic clustering methods -- 9.1. …”
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Cluster analysis

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Rationality and decision making : from normative rules to heuristics

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Applied Univariate, Bivariate, and Multivariate Statistics Using Python : A Beginner's Guide to Advanced Data Analysis. by Denis, Daniel J.

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Social media analytics for user behavior modeling : a task heterogeneity perspective by Nelakurthi, Arun Reddy, He, Jingrui

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The Dictionary of Critical Social Sciences. by Young, T. R.

Table of Contents: “…Cover -- Half Title -- Title -- Copyright -- Dedication -- Preface -- Authors' Note -- Acknowledgments -- A -- AARP -- Abduction -- Abolitionism -- Abortion -- Abuse, Child -- Abuse, Spousal -- Accenting the Sign -- Act -- Act, Philosophy of -- Acton, Lord (1834-1902) -- Actor -- Adolescence -- Adorno, Theodor (1903-1969) -- Adventist Religious Groups -- Advertising -- Aesthetics -- Aesthetics (Socialist) -- Affect -- Age -- Aged, Immiseration of -- Age Grades -- Agency, Human -- Agitation -- Agnosticism -- Agrarian Society -- Agriculture -- Agriculture, Hydraulic Societies -- Agrippa -- Ahistoricism -- Algorithm -- Alienation -- Alienation, Assumptions of -- Alienation, Psychological -- Allegory -- Analogy -- Analysis -- Anarchy -- Androcentricism -- Animal Functions -- Anomia -- Anomie -- Anthropocentrism -- Anthropology -- Anthropomorphism -- Anti-Foundationalism -- Anti-Semitism -- Apathy -- Apollonian -- Apology -- Apple, and Temptation to Knowledge -- Appropriation -- Appropriation, Mechanisms of -- Aquinas, Thomas, St. (1225-1274) -- Archaeology -- Archetype -- Aristocracy -- Aristotle (384-322 B.C.E.) -- Art -- Artificial Intelligence -- Artificial Stupidity -- Asceticism -- Ascribed Status -- Ashby's Law of Requisite Variety -- Assimilation -- Atheism -- Attitude -- Attractor -- Attractor, Strange -- Augustine, St. (354-430) -- Author -- Authoritarianism -- Authoritarian Personality -- Authority -- Automation -- Autonomy -- Away(s) -- Axiology -- Axiom -- B -- Back Stage -- Bacon, Francis (1561-1626) -- Bakunin, Mikhail (1814-1876) -- Balance of Payments -- Balance of Trade -- Banditry, Social -- Barbarism -- Barthes, Roland (1915-1980) -- Base -- Baseball -- Base Communities -- Bastard -- Baudrillard, Jean (1929- ) -- Beauvoir, Simone de (1908-1986) -- Behavior -- Behaviorism -- Behavior Modification -- Belief.…”
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Advances In Artificial Intelligence For Privacy Protection And Security.

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Principles of mathematical petrophysics by Doveton, John H., 1944-

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Credit securitizations and derivatives : challenges for the global markets

Table of Contents: “…Market Credit Risk Pricing -- Regulation -- Developments in Structured Finance Markets -- Impairments of Asset-Backed Securities and Outstanding Ratings -- Issuance of Asset-backed Securities and Outstanding Volume -- Global CDO Issuance and Outstanding Volume -- PART II CREDIT PORTFOLIO RISK MEASUREMENT -- Mortgage Credit Risk -- Five C's of Credit and Mortgage Credit Risk -- Determinants of Mortgage Default, Loss Given Default and Exposure at Default -- Determinants of Mortgage Default -- Determinants of Mortgage LGD -- Determinants of Mortgage EAD -- Modeling Methods for Default, LGD and EAD -- Model Risk Management -- Credit Portfolio Correlations and Uncertainty -- Introduction -- Gaussian and Semi-Gaussian Single Risk Factor Model -- Individual and Simultaneous Confidence Bounds and Intervals -- Confidence Intervals for Asset Correlations -- Confidence Intervals for Default and Survival Time Correlations -- Confidence Intervals for Default Correlations -- Confidence Intervals for Survival Time Correlations -- Credit Portfolio Correlations with Dynamic Leverage Ratios -- The Hui et al. (2007) Model -- The Method of Images for Constant Coefficients -- The Method of Images for Time-Varying Coefficients -- Modelling Default Correlations in a Two-Firm Model -- Default Correlations -- A Two-Firm Model with Dynamic Leverage Ratios -- Method of Images for Constant Coefficients -- Method of Images for Time-Varying Coefficients -- Alternative Methodologies for General Values -- Numerical Results -- Accuracy -- The Impact of Correlation between Two Firms -- The Impact of Different Credit Quality Paired Firms -- The Impact of Volatilities -- The Impact of Drift Levels -- The Impact of Initial Value of Leverage Ratio Levels -- Impact of Correlation between Firms and Interest Rates -- The Price of Credit-Linked Notes -- A Hierarchical Model of Tail-Dependent Asset Returns -- The Variance Compound Gamma Model -- Multivariate Process for Logarithmic Asset Returns -- Dependence Structure -- Sampling -- Copula Properties -- An Application Example -- Portfolio Setup -- Test Portfolios -- Parameter Setup -- Simulation Results -- Importance Sampling Algorithm -- Conclusions -- Appendix A: The VCG Probability Distribution Function Appendix B: HAC Representation for the VCG Framework -- Monte Carlo Methods for Portfolio Credit Risk -- Modeling Credit Portfolio Losses -- Risk Measures -- Modeling Dependency -- Estimating Risk Measures via Monte Carlo -- Crude Monte Carlo Estimators -- Importance Sampling -- Specific Models -- The Bernoulli Mixture Model -- Factor Models -- Copula Models -- Intensity Models -- An Example Point Process Model -- Appendix A: A Primer on Rare-event Simulation -- Efficiency -- Importance Sampling -- The Choice of g -- Adaptive Importance Sampling -- Importance Sampling for Stochastic Processes -- Credit Portfolio Risk and Diversification -- Introduction -- Model Setup -- Independent Asset Values -- Correlated Asset Values -- Large Portfolio Limit -- Correlated Diffusion -- Correlated GARCH Process -- Applications of the Structural Recovery Rate -- Conclusions -- PART III CREDIT PORTFOLIO RISK SECURITIZATION AND TRANCHING -- Differences in Tranching Methods: Some Results and Implications -- Defining a Tranche -- The Mathematics of Tranching -- PD-based Tranching -- EL-based Tranching -- The EL of a Tranche Necessarily Increases When Either the Attachment Point or the Detachment Point is Decreased -- Upper Bound on Tranche Expected LGD (LGDt) Assumption Given EL-based Tranches -- Skipping of Some Tranches in the EL-based Approach -- Global Structured Finance Rating -- Asset-Backed Securities -- The ABS Structure for the Experiment -- Cash Flow Modeling -- Modeling and Simulating Defaults -- Expected Loss Rating -- Global Sensitivity Analysis -- Elementary Effects -- Variance-based Method -- Global Sensitivity Analysis Results -- Uncertainty Analysis -- Sensitivity Analysis -- Global Rating -- PART IV CREDIT DERIVATIVES -- Analytic Dynamic Factor Copula Model -- Pricing Equations -- One-factor Copula Model -- Multi-period Factor Copula Models -- Calibration -- Dynamic Modeling of Credit Derivatives -- General Model Choice -- Modeling Option Prices -- Modeling Credit Risk -- Portfolio Credit Derivatives -- Modeling Asset Dynamics -- The Market Model -- The Asset-value Model -- Empirical Analysis -- Elementary Data -- Implied Dividends -- Market Dynamics -- Asset Value Model -- Tranche Pricing -- Out-of-time Application -- Pricing and Calibration in Market Models -- Basic notions -- The model -- Modeling Assumptions -- Absence of Arbitrage -- An affine specification -- Pricing -- Calibration -- Calibration Procedure -- Calibration Results -- Appendix A: Computations -- Counterparty Credit Risk and Clearing of Derivatives -- From the Perspective of an Industrial Corporate with a Focus on Commodity Markets -- Credit exposures in commodity business -- Settlement Exposure -- Performance Exposure -- Example of Fixed Price Deal with Performance Exposure -- Example of a Floating Price Deal with Performance Exposure -- General Remarks on Credit Exposure Concepts -- Ex Ante exposure-reducing techniques -- Payment Terms -- Material Adverse Change Clauses -- Master Agreements -- Netting -- Margining -- Close Out Exposure and Threshold -- Ex Ante risk-reducing techniques -- Credit Enhancements in General -- Parent Company Guarantees -- Letters of Credit -- Credit Insurance -- Clearing via a Central Counterparty -- Ex Post risk-reducing techniques -- Factoring -- Novation -- Risk-reducing Trades -- Hedging with CDS -- Hedging with Contingent-CDS -- Hedging with Puts on Equity -- Ex Post work out considerations -- Practical credit risk management and pricing Peculiarities of commodity markets -- Peculiarities of commodity related credit portfolios -- Credit Risk Capital for a commodity related portfolio measured with an extension of CreditMetrics -- CreditRisk+ study: applied to a commodity related credit portfolio -- CDS Industrial Sector Indices, Credit and Liquidity Risk -- The Data -- Methodology and Results -- Preliminary Analysis -- Common Factor Analysis -- Stability of Relations -- Risk Transfer and Pricing of Illiquid Assets with Loan CDS -- Shipping Market -- Loan Credit Default Swaps -- LCDS Pricing -- Modeling LCDS Under the Intensity-based Model -- Valuation Framework for LCDS -- The Structural Approach -- Credit Risk in Shipping Loans -- Valuation of LCDS on Shipping Loans -- Simulation Model -- Numerical Results -- Appendix A: Monte Carlo Parameterization PART V REGULATION -- Regulatory Capital Requirements for Securitizations -- Regulatory Approaches for Securitizations -- Ratings Based Approach (RBA) -- Supervisory Formula Approach (SFA) -- Standardized Approach (SA) -- Post-crisis Revisions to the Basel Framework -- Regulating OTC Derivatives -- The Wall Street Transparency and Accountability Part of the Dodd-Frank Act of 2010 -- Which Derivatives Will Be Affected? …”
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Informatics for Health by Randell, R.

Table of Contents: “…Facilitators and Barriers of Electronic Health Record Patient Portal Adoption by Older Adults: A Literature Study -- Preventing Unintended Disclosure of Personally Identifiable Data Following Anonymisation -- Protecting Privacy of Genomic Information -- Clinical Data Warehouse Watermarking: Impact on Syndromic Measure -- Security Policy and Infrastructure in the Context of a Multi-Centeric Information System Dedicated to Autism Spectrum Disorder -- Use of a Nationwide Personally Controlled Electronic Health Record by Healthcare Professionals and Patients: A Case Study with the French DMP -- Use and Adaptation of Open Source Software for Capacity Building to Strengthen Health Research in Low- and Middle-Income Countries -- Connecting the Links: Narratives, Simulations and Serious Games in Prehospital Training -- Designing an E-Learning Platform for Postoperative Arthroplasty Adverse Events -- Understanding the Context of Learning in an Online Social Network for Health Professionals' Informal Learning -- Ubiquitous Adoption of Innovative and Supportive Information and Communications Technology Across Health and Social Care Needs Education for Clinicians -- Mobile Medical Apps and mHealth Devices: A Framework to Build Medical Apps and mHealth Devices in an Ethical Manner to Promote Safer Use -- A Literature Review -- A Method for Co-Designing Theory-Based Behaviour Change Systems for Health Promotion -- Persona Development and Educational Needs to Support Informal Caregivers -- An Approach for Enhancing Adoption, Use and Utility of Shared Digital Health Records in Rural Australian Communities -- Exploring Innovation Capabilities of Hospital CIOs: An Empirical Assessment -- The Invisibility of Disadvantage: Why Do We Not Notice?…”
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Statistical analysis in forensic science : evidential value of multivariate physicochemical data

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