Search Results - empirical (((algorithms OR algorithmus) OR (algorithmes OR algorithmic)) OR algorithms)

Probability, Finance and Insurance : Proceedings of a Workshop. by Lai, T. L.

Table of Contents: “…Summary; References; Phase changes in random recursive structures and algorithms; 1. Phase changes related to the Poisson distribution; 2. …”
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Extreme events : observations, modeling, and economics

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Empathic space : the computation of human-centric architecture

Table of Contents: “…Exhaustive Enumeration of Small Rectangular PlansEnumeration of Built Forms: An 'Archetypal Building'; An 'Architectural Morphospace'; The Deep Structure of the Picturesque; Form as Process; The Failure of the Top-Down Approach; Thinking Algorithmically; Crafting Space: Generative Processes of Architectural Configurations; Space Block Hanoi, 36 Old Streets district, Hanoi, Vietnam; Solutions You Cannot Draw; Bottom-Up Urban Design; Evolutionary Building Design; Reverse Engineering from the Shadow; Recent Projects with Adaptive Architecture; INTERACTIONS IN THE FIELD.…”
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Two-degree-of-freedom control systems : the Youla Parameterization approach by Keviczky, László, Bányász, Csilla

Table of Contents: “…Chapter 10 -- Process IdentificationTYPES OF MODELS; MODEL VALIDATION; PARAMETER ESTIMATION; 10.1 OFF-LINE PROCESS IDENTIFICATION METHODS; 10.2 RECURSIVE PROCESS IDENTIFICATION METHODS; 10.3 PROCESS IDENTIFICATION IN CLOSED-LOOP CONTROL; Chapter 11 -- Adaptive Regulators and Iterative Tuning; 11.1 ALGORITHMS OF ADAPTIVE LEARNING METHODS; 11.2 ITERATIVE METHODS: SIMULTANEOUS IDENTIFICATION AND CONTROL; 11.3 TRIPLE CONTROL; Appendix 1 -- Mathematical Summary; A.1.1 SOME BASIC THEOREMS OF MATRIX ALGEBRA; A.1.2 FOUNDATIONS OF VECTOR ANALYSIS; A.1.3 KRONECKER PRODUCT OF MATRICES.…”
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Discrete choice experiments in marketing : use of priors in efficient choice designs and their application to individual preference measurement by Zwerina, Klaus, 1967-

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Stochastic filtering with applications in finance by Bhar, Ramaprasad

Table of Contents: “…Background to particle filter for non Gaussian problems. 1.8. Particle filter algorithm. 1.9. Unobserved component models. 1.10. …”
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Neural control engineering : the emerging intersection between control theory and neuroscience by Schiff, Steven J.

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Inside the black box : a simple guide to quantitative and high frequency trading by Narang, Rishi K, 1974-

Table of Contents: “…Final Thoughts on OptimizationOutput of Portfolio Construction Models; How Quants Choose a Portfolio Construction Model; Summary; Notes; Chapter 7 Execution; Order Execution Algorithms; Aggressive versus Passive; Other Order Types; Large Order versus Small Order; Where to Send an Order; Trading Infrastructure; Summary; Notes; Chapter 8 Data; The Importance of Data; Types of Data; Sources of Data; Cleaning Data; Storing Data; Summary; Notes; Chapter 9 Research; Blueprint for Research: The Scientific Method; Idea Generation; Testing; In-Sample Testing, a.k.a. …”
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Oil and gas exploration : methods and application

Table of Contents: “…Theory; 3.2.1. EMD Algorithm; 3.2.2. Gaussian Noise Model and EMD Signal Denoising; 3.2.3. …”
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Advances in applied mechanics and materials : selected, peer reviewed papers from the International Conference on Mechanical Engineering (ICOME 2013), September 19-21, 2013, Matara...

Table of Contents: “…Validation of AWTSim as Aerodynamic Analysis for Design Wind Turbine BladeNumerical Study on the Influence of the Corner Curvature of Circular Micropillar on Microdroplet Size via a Dewetting Process; Redesign ITS Central Library through Smart Building; Optimization of Maximum Lift to Drag Ratio on Airfoil Design Based on Artificial Neural Network Utilizing Genetic Algorithm; Carbon Dioxide Effects on the Flammability Characteristics of Biogas; Heat Transfer Effectiveness and Coefficient of Pressure Drop on the Shell Side of a Staggered Elliptical Tubes Bank.…”
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Language learnability and language development by Pinker, Steven, 1954-

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Stochastic modelling of electricity and related markets by Benth, Fred Espen, 1969-

Table of Contents: “…Maximum smooth forward curve. 7.3. Putting the algorithm to work -- 8. Modelling of the electricity futures market. 8.1. …”
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Performance evaluation and Army recruiting by Dertouzos, James N., 1950-

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Dynamic factor models

Table of Contents: “…Mixed-Frequency Estimators; 2.1 Extended Yule-Walker Estimators: The Stock Case; 2.2 Extended Yule-Walker Estimators: The General Case; 2.3 Maximum Likelihood Estimation and the EM Algorithm; 3. Projecting the MF Estimators on the Parameter Space.…”
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Handbook of high-frequency trading and modeling in finance

Table of Contents: “…4.1 Introduction4.2 Background; 4.2.1 Portfolios And Optimization; 4.2.2 Algorithmic Complexity; 4.2.3 Performance; 4.2.4 Ising Model; 4.2.5 Adiabatic Quantum Computing; 4.3 The models; 4.3.1 Financial Model; 4.3.2 Graph-Theoretic Combinatorial Optimization Models; 4.3.3 Ising And Qubo Models; 4.3.4 Mixed Models; 4.4 Methods; 4.4.1 Model Implementation; 4.4.2 Input Data; 4.4.3 Mean-Variance Calculations; 4.4.4 Implementing The Risk Measure; 4.4.5 Implementation Mapping; 4.5 Results; 4.5.1 The Simple Correlation Model; 4.5.2 The Restricted Minimum-Risk Model.…”
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The medical imagination : literature and health in the early United States by Altschuler, Sari

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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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A practitioner's guide to asset allocation by Kinlaw, William, Kinlaw, William, Kritzman, Mark P., Turkington, David, 1983-

Table of Contents: “…-- Linear Hedging Strategies -- Nonlinear Hedging Strategies -- Economic Intuition -- References -- Notes -- Chapter 11: Illiquidity -- The Challenge -- Shadow Assets and Liabilities -- Expected Return and Risk of Shadow Allocations -- Other Considerations -- Case Study -- The Bottom Line -- Appendix -- References -- Notes -- Chapter 12: Risk in the Real World -- The Challenge -- End-of-Horizon Exposure to Loss -- Within-Horizon Exposure to Loss -- Regimes -- The Bottom Line -- References -- Notes -- Chapter 13: Estimation Error -- The Challenge -- Traditional Approaches to Estimation Error -- Stability-Adjusted Optimization -- Building a Stability-Adjusted Return Distribution -- Determining the Optimal Allocation -- Empirical Analysis -- The Bottom Line -- References -- Notes -- Chapter 14: Leverage versus Concentration -- The Challenge -- Leverage in Theory -- Leverage in Practice -- The Bottom Line -- References -- Notes -- Chapter 15: Rebalancing -- The Challenge -- The Dynamic Programming Solution -- The Markowitz-van Dijk Heuristic -- The Bottom Line -- References -- Notes -- Chapter 16: Regime Shifts -- The Challenge -- Predictability of Return and Risk -- Regime-Sensitive Allocation -- Tactical Asset Allocation -- The Bottom Line -- Appendix: Baum-Welch Algorithm -- References -- Notes -- Section Four: Addendum -- Chapter 17: Key Takeaways.…”
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Predictive Modeling of Pharmaceutical Unit Operations. by Pandey, Preetanshu

Table of Contents: “…3.5.1.2 Improvements in the efficiency of solution methods, algorithms, and compute architecture3.5.1.3 Advancement in analysis techniques with commercial and open source software; 3.5.2 Case study: creating a material model; 3.6 Summary and outlook; Acknowledgements; References; 4 Dry granulation process modeling; 4.1 Introduction; 4.2 Challenges in dry granulation modeling and recent progress; 4.2.1 Roller compaction technology; 4.2.2 Theoretical background; 4.2.3 Common problems of roller compaction and progress; 4.3 Modeling tools; 4.3.1 DEM modeling; 4.3.2 FEM modeling.…”
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Romance syntax, semantics and L2 acquisition : selected papers from the 30th Linguistic Symposium on Romance Languages : Gainesville, Florida, February 2000

Table of Contents: “…Discussion -- 6.1 The learning algorithm -- 6.2 Conceptualizing Learning.…”
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