Tabla de Contenidos: “…The Bouncing Back Project : health and social welfare of disadvantaged families in Brighton and Hastings / Kim Aumann and Angie Hart -- 22. The outreach programme at Sewanee, University of the South, USA / Felix M. …”

Tabla de Contenidos: “…Cover -- Title Page -- Copyright -- Contents -- Foreword -- Introduction -- Why I Wrote This Book -- What You'll Find in This Book -- Part I So, You're a CEO -- Chapter 1 Why CEO Transitions Are So Hard -- Out of Your Comfort Zone -- Alone in a Crowd -- A Heavy Crown -- Busier than You've Ever Been -- Never Too Soon for a Crisis -- Chapter 2 Prepare to Win -- Plan -- Adjust -- Your Ghost -- The Business Context -- Outsider or Insider -- Part II Out of the Blocks: Making the Right Start -- Chapter 3 Burst the CEO Bubble -- See More, But Hear Less -- Be Curious, Not Right -- Two Ears, One Mouth -- Check Your Biases at the Door -- Chapter 4 Act Discerningly -- Rethink the First 100 Days' Mindset -- Festina Lente (Make Haste Slowly) -- Easy Wins -- Common Pain Points -- Early Moves -- Clearing the Decks -- Chapter 5 Get the Messaging Right -- Communication versus Action -- Intent versus Behavior -- Chicken Noodle Soup and Blue Walls -- Taking a Public Position -- Chapter 6 Navigating the Crash -- Power of Reflection -- Here to Serve -- Play Your Position -- Trust Your Gut -- Part III Up and Running: Early Priorities -- Chapter 7 Building Your Top Team -- Move Fast on Your Team -- Decide How You Will Assess Your Team -- Would You Rehire? …”

“…Bayesian estimators are often implemented by Monte Carlo methods, such as the Metropolis–Hastings algorithm of the Gibbs sampler. These algorithms target the exact posterior distribution. …”

Tabla de Contenidos:

Tabla de Contenidos: “…Cassel, Carl GustavCaves, Richard Earl; Chadwick, Edwin (; Chamberlin, Edward Hastings; Chandler, Alfred D., Jr.; Chenery, Hollis B.; Chick, Victoria; Cipolla, Carlo M.; Clapham, John Harold; Clark, John Bates; Clark, John Maurice; Clower, Robert Wayne; Coase, Ronald; Colbert, Jean Baptiste; Collet, Clara Elizabeth; Colmeiro Penido, Manuel; Commons, John R.; Condillac, Étienne Bonnot de; Condorcet, Marie-Jean Antoine Nicolas; Cournot, Antoine-Augustin; Cunningham, William; D; Dasgupta, Partha Sarathi; Davenant, Charles; Debreu, Gerard; Demsetz, Harold; Denison, Edward F.…”

Tabla de Contenidos:

Tabla de Contenidos: “…Gott, der du selber bist das Licht, BWV 316 -- Gott hat das Evangelium, BWV 319 -- Gott lebet noch, BWV 320 -- Gottlob, es geht nunmehr zu Ende, BWV 321 -- Helft mir Gott's Güte preisen, Cantate BWV 16 -- Helft mir Gott's Güte preisen, Cantate BWV 183 -- Herr Christ, der einig' Gott's Sohn, Cantate BWV 164 -- Herr Christ, der einig' Gott's Sohn, Cantate BWV 96 -- Herr Gott, dich loben alle wir, BWV 326 -- Herr Gott, dich loben alle wir, BWV 326 -- Herr Gott, dich loben alle wir, BWV 328 -- Herr Gott, dich loben wir, Cantate BWV 119 -- Herr Gott, dich loben wir, Cantate BWV 120 -- Herr, ich denk' an jene Zeit, BWV 329 -- Herr, ich habe missgehandelt, BWV 330 -- Herr Jesu Christ, dich zu uns wend', BWV 332 -- Herr Jesu Christ, du hast bereit't, BWV 333 -- Herr Jesu Christ, du höchstes Gut, BWV 334 -- Herr Jesu Christ, du höchstes Gut, Cantate BWV 168 -- Herr Jesu Christ, du höchstes Gut, Cantate BWV 48 -- Herr Jesu Christ, mein's Lebens Licht, BWV 335 -- Herr Jesu Christ, wahr'r Mensch und Gott, Cantate BWV 127 -- Herr, nun lass in Friede, BWV 337 -- Herr, straf' mich nicht in deinem Zorn, BWV 338 -- Herr, wie du willst, so schick's mit mir, Cantate BWV 156 -- Herr, wie du willst, so schick's mit mir, BWV 339 -- Herzlich lieb hab' ich dich, o Herr, BWV 340 -- Herzlich lieb hab' ich dich, o Herr, Cantate BWV 174 -- Herzlich thut mich verlangen, Cantate BWV 153 -- Hilf, Gott, dass mir's gelinge, BWV 343 -- Hilf, Herr Jesu, lass gelingen, BWV 344 -- Ich bin ja, Herr, in deiner Macht, BWV 345 -- Ich dank' dir, Gott, für all' Wohlthat, BWV 346 -- Ich dank' dir, lieber Herre, BWV 347 -- Ich dank' dir, lieber Herre, BWV 348 -- Ich dank' dir, lieber Herre, Cantate BWV 37 -- Ich dank' dir schon durch deinen Sohn, BWV 349 -- Ich danke dir, o Gott, in deinem Throne, BWV 350 -- Ich hab' mein' Sach' Gott heimgestellt, BWV 351 -- Ich ruf' zu dir, Herr Jesu Christ, Cantate BWV 177 -- Jesu, der du meine Seele, BWV 352 -- Jesu, der du meine Seele, BWV 353 -- Jesu, der du meine Seele, BWV 354 -- Jesu, der du meine Seele, Cantate BWV 78 -- Jesu, der du selbst so wohl, BWV 355 -- Jesu, du mein liebstes Leben, BWV 356 -- Jesu, Jesu, du bist mein, BWV 357 -- Jesu, meine Freude, BWV 358 -- Jesu, meine Freude, BWV 227 -- Jesu, meine Freude, Cantate BWV 81.…”

Tabla de Contenidos: “…VI : Literatura castellana (siglos XV al XVII) ; Literatura inglesa (desde 1066 hast finales del siglo XVIII) ; Literatura francesa (siglos XV al XVIII). - X, 672 p. : 396 grab. bl. y n., [5] h. de lam. col. …”

Tabla de Contenidos: “…West, Natalie C. Ebner and Erin C. Hastings -- Goals and entrepreneurship / J. Robert Baum -- Working with goals in therapy / Per Jostein Matre, Kitty Dahl, Robert Jensen, and Hans M. …”
Enlace del recurso

Tabla de Contenidos: “…LAS HOJAS: LIMBOS, FOLIOLOS, PINNAS, SEGMENTOS; Hojas pinnadas y palmadas; Hojas costapalmadas; Hojas bipinnadas; Limbos enteros, casi enteros y bífidos; Colores especiales; La lígula o hást; Los foliolos; Foliolos induplicados y reduplicados; Formas de inserción de los foliolos; Nervadura de los foliolos…”

Tabla de Contenidos: “…-- Kommentare vorbereiten -- Kommentar gestalten -- Häufige Kommentarfehler -- Der Kommentarsprecher -- Kapitel 9: Auditives -- Audio fürs Video -- Audio-Quellen -- O-Töne und Atmos -- Atmos und Geräusche - selber aufnehmen -- Alternativ - die Audio-App -- Smartphone 2 - mit Audio-App -- Die Wellenformdarstellung -- Audio synchronisieren -- Atmos und Geräusche - online und free -- Sprecheraufnahmen mit Handy -- Musik im Video -- Musik aus dem Netz -- Haste Töne? -- Audio bei Kdenlive -- Audio importieren -- Audio in der Timeline -- Effekte -- Bildgenau mit Keyframes -- Bis zum Audio-Mix -- Kapitel 10: Titel &amp -- Effekte -- Text im Video -- Titel einfach und noch schöner -- Bildkorrekturen -- Farbe und Weißabgleich -- Fotos im Video -- Nachdreh zu Hause -- Chroma-Key-Technik -- Nachträgliche Vereinigung -- Kapitel 11: Rechtsfragen -- Recht für Videoamateure -- Betroffene Rechtsgebiete -- Aspekte aus dem Persönlichkeitsrecht -- Ein Blick in das Urheberrecht -- Lizenzrecht und GEMA -- Lizenzen für schöpferisches Gemeingut - CC -- Aufnahmen mit Kindern und Jugendlichen -- Im Meer sozialer Medien -- YouTuber &amp -- Co -- Der Check vor dem Dreh -- Kapitel 12: YouTube -- Konto einrichten…”

Tabla de Contenidos: “…Central limit theorem; 4.1.2. Metropolis-Hastings algorithm; 4.1.3. Dimensional jumps; 4.1.3.1. …”

Tabla de Contenidos: “…Case Studies in Bayesian Statistical Modelling and Analysis; Contents; Preface; List of contributors; 1 Introduction; 1.1 Introduction; 1.2 Overview; 1.3 Further reading; 1.3.1 Bayesian theory and methodology; 1.3.2 Bayesian methodology; 1.3.3 Bayesian computation; 1.3.4 Bayesian software; 1.3.5 Applications; References; 2 Introduction to MCMC; 2.1 Introduction; 2.2 Gibbs sampling; 2.2.1 Example: Bivariate normal; 2.2.2 Example: Change-point model; 2.3 Metropolis-Hastings algorithms; 2.3.1 Example: Component-wise MH or MH within Gibbs; 2.3.2 Extensions to basic MCMC; 2.3.3 Adaptive MCMC…”

Tabla de Contenidos: “…ALGORITMO METROPOLIS-HASTINGS -- 9.1.6. EL ALGORITMO METROPOLIS -- 9.2. …”

Tabla de Contenidos: “…. -- ... und eine Aufgabe -- Kapitel 7: Alles unter Kontrolle: Komponentensammlung -- Kleine Knopfparade -- Alles in einer Liste -- Du hast die Wahl -- Optionen -- Von Pünktchen und Häkchen -- Körper, Geist und Seele -- Der letzte Schliff -- Zusammenfassung -- Ein paar Fragen ... -- ... aber nur eine Aufgabe -- Kapitel 8: Wer weiss was? …”

Tabla de Contenidos: “…-- How to find your blind spot -- Act in haste, repent at leisure -- Find the time to learn -- Play and learn -- Keep learning -- Chapter 3 Find your values -- Do the right thing -- Karma comes back -- What goes around comes around -- Want free marketing? …”

Tabla de Contenidos: “…Mixture models and clustering -- Non-finite mixture model -- Dirichlet process -- Continuous mixtures -- Some common distributions are mixtures -- Summary -- Exercises -- Chapter 8: Gaussian Processes -- Linear models and non-linear data -- Modeling functions -- Multivariate Gaussians and functions -- Covariance functions and kernels -- Gaussian processes -- Gaussian process regression -- Gaussian process regression with PyMC -- Setting priors for the length scale -- Gaussian process classification -- GPs for space flu -- Cox processes -- Coal mining disasters -- Red wood -- Regression with spatial autocorrelation -- Hilbert space GPs -- HSGP with Bambi -- Summary -- Exercises -- Chapter 9: Bayesian Additive Regression Trees -- Decision trees -- BART models -- Bartian penguins -- Partial dependence plots -- Individual conditional plots -- Variable selection with BART -- Distributional BART models -- Constant and linear response -- Choosing the number of trees -- Summary -- Exercises -- Chapter 10: Inference Engines -- Inference engines -- The grid method -- Quadratic method -- Markovian methods -- Monte Carlo -- Markov chain -- Metropolis-Hastings -- Hamiltonian Monte Carlo -- Sequential Monte Carlo -- Diagnosing the samples -- Convergence -- Trace plot -- Rank plot -- , (R hat) -- Effective Sample Size (ESS) -- Monte Carlo standard error -- Divergences -- Keep calm and keep trying -- Summary -- Exercises -- Chapter 11: Where to Go Next -- Other Books You May Enjoy -- Index…”

Tabla de Contenidos: “…3.4 Precision of Monte Carlo Method -- 3.4.1 Monitoring Mean and Variance -- 3.4.2 Importance Sampling -- 3.4.3 Correlated Samples -- 3.4.4 Variance Reduction Methods -- 3.5 Markov Chains -- 3.5.1 Markov Processes -- 3.5.2 Discrete Time, Discrete State Space -- 3.5.3 Transition Probability -- 3.5.4 "Sun City" -- 3.5.5 Utility Bills -- 3.5.6 Classification of States -- 3.5.7 Stationary Distribution -- 3.5.8 Reversibility Condition -- 3.5.9 Markov Chains with Continuous State Spaces -- 3.6 Simulation of a Markov Chain -- 3.7 Applications -- 3.7.1 Bank Sizes -- 3.7.2 Related Failures of Car Parts -- References -- 4 Markov Chain Monte Carlo Methods -- 4.1 Markov Chain Simulations for Sun City and Ten Coins -- 4.2 Metropolis-Hastings Algorithm -- 4.3 Random Walk MHA -- 4.4 Gibbs Sampling -- 4.5 Diagnostics of MCMC -- 4.5.1 Monitoring Bias and Variance of MCMC -- 4.5.2 Burn-in and Skip Intervals -- 4.5.3 Diagnostics of MCMC -- 4.6 Suppressing Bias and Variance -- 4.6.1 Perfect Sampling -- 4.6.2 Adaptive MHA -- 4.6.3 ABC and Other Methods -- 4.7 Time-to-Default Analysis of Mortgage Portfolios -- 4.7.1 Mortgage Defaults -- 4.7.2 Customer Retention and Infinite Mixture Models -- 4.7.3 Latent Classes and Finite Mixture Models -- 4.7.4 Maximum Likelihood Estimation -- 4.7.5 A Bayesian Model -- References -- PART II Modeling Dependence -- 5 Statistical Dependence Structures -- 5.1 Introduction -- 5.2 Correlation -- 5.2.1 Pearson's Linear Correlation -- 5.2.2 Spearman's Rank Correlation -- 5.2.3 Kendall's Concordance -- 5.3 Regression Models -- 5.3.1 Heteroskedasticity -- 5.3.2 Nonlinear Regression -- 5.3.3 Prediction -- 5.4 Bayesian Regression -- 5.5 Survival Analysis -- 5.5.1 Proportional Hazards -- 5.5.2 Shared Frailty -- 5.5.3 Multistage Models of Dependence -- 5.6 Modeling Joint Distributions -- 5.6.1 Bivariate Survival Functions -- 5.6.2 Bivariate Normal…”

Tabla de Contenidos: “…References -- Chapter 7 On New Joint Importance Measures for Multistate Reliability Systems -- 7.1 Introduction -- 7.2 New Joint Importance Measures -- 7.2.1 Multistate Differential Joint Reliability Achievement Worth (MDJRAW) -- 7.2.2 Multistate Differential Joint Reliability Reduction Worth (MDJRRW) -- 7.2.3 Multistate Differential Joint Reliability Fussel-Vesely (MDJRFV) Measure -- 7.3 Discussion -- 7.4 Illustrative Example -- 7.5 Conclusion -- References -- Chapter 8 Inferences for Two Inverse Rayleigh Populations Based on Joint Progressively Type-II Censored Data -- 8.1 Introduction -- 8.2 Model Description -- 8.3 Classical Estimation -- 8.3.1 Maximum Likelihood Estimation -- 8.3.2 Asymptotic Confidence Interval -- 8.4 Bayesian Estimation -- 8.4.1 Tierney-Kadane's Approximation -- 8.4.2 Metropolis-Hastings Algorithm -- 8.4.3 HPD Credible Interval -- 8.5 Simulation Study -- 8.6 Real-Life Application -- 8.7 Conclusions -- References -- Chapter 9 Component Reliability Estimation Through Competing Risk Analysis of Fuzzy Lifetime Data -- 9.1 Introduction -- 9.2 Fuzzy Lifetime Data -- 9.2.1 Fuzzy Set -- 9.2.2 Fuzzy Numbers and Membership Function -- 9.2.3 Fuzzy Event and its Probability -- 9.3 Modeling with Fuzzy Lifetime Data in Presence of Competing Risks -- 9.4 Maximum Likelihood Estimation with Exponential Lifetimes -- 9.4.1 Bootstrap Confidence Interval -- 9.5 Bayes Estimation -- 9.5.1 Highest Posterior Density Confidence Estimates -- 9.6 Numerical Illustration -- 9.6.1 Simulation Study -- 9.6.2 Reliability Analysis Using Simulated Data -- 9.7 Real Data Study -- 9.8 Conclusion -- References -- Chapter 10 Cost-Benefit Analysis of a Redundant System with Refreshment -- 10.1 Introduction -- 10.2 Notations -- 10.3 Average Sojourn Times and Probabilities of Transition States -- 10.4 Mean Time to Failure of the System -- 10.5 Steady-State Availability…”

Tabla de Contenidos: “…Bayesian Linear Regression Model -- THE UNIVARIATE LINEAR REGRESSION MODEL -- Bayesian Estimation of the Univariate Regression Model -- Illustration: The Univariate Linear Regression Model -- THE MULTIVARIATE LINEAR REGRESSION MODEL -- Diffuse Improper Prior -- KEY POINTS -- NOTES -- REFERENCES -- Bayesian Estimation of ARCH-Type Volatility Models -- BAYESIAN ESTIMATION OF THE GARCH(1,1) MODEL -- Distributional Setup -- Posterior Distributions -- Posterior Simulations with the Metropolis-Hastings Algorithm -- MARKOV-SWITCHING GARCH MODELS -- Preliminaries -- Prior Distributional Assumptions -- Estimation of the MS GARCH Model -- APPENDIX: THE GRIDDY GIBBS SAMPLER -- Drawing from the Conditional Posterior Distribution of ν -- KEY POINTS -- NOTES -- REFERENCES -- Bayesian Techniques and the Black-Litterman Model -- PRACTICAL PROBLEMS ENCOUNTERED IN MEAN-VARIANCE OPTIMIZATION -- Example: The True, Estimated, and Actual Efficient Frontiers -- Sensitivity to Estimation Error -- Incorporating Uncertainty in the Inputs into the Portfolio Allocation Process -- Large Data Requirements -- SHRINKAGE ESTIMATION -- THE BLACK-LITTERMAN MODEL -- Derivation of the Black-Litterman Model -- KEY POINTS -- NOTES -- REFERENCES -- Bond Valuation -- Basics of Bond Valuation -- GENERAL PRINCIPLES OF BOND VALUATION -- Estimating Cash Flows -- Determining the Appropriate Interest Rate or Rates -- Discounting the Expected Cash Flows -- Determining a Bond's Value -- The Price/Discount Rate Relationship -- Time Path of Bond -- ARBITRAGE-FREE BOND VALUATION -- Theoretical Spot Rates -- Valuation Using Treasury Spot Rates -- Reason for Using Treasury Spot Rates -- Stripping and Arbitrage-Free Valuation -- Credit Spreads and the Valuation of Non-Treasury Securities -- KEY POINTS -- NOTES -- REFERENCES -- Relative Value Analysis of Fixed-Income Products…”