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1.	Bayesian Experimental Design: A Review Kathryn Chaloner, Isabella Verdinelli Statistical Science, Vol. 10, No. 3 (Aug., 1995), pp. 273-304 Subjects: Statistics, Transportation Studies, Mathematics Key terms: bayesian, design, optimality, utility, optimal, linear, experiment, bayes, prior, criterion, model, matrix, distribution, variance, expect, nonlinear, experimental, lindley, choose, function, maximiz, toman CiteRank: 0.9911 More Info
2.	Bayesian Analysis: A Look at Today and Thoughts of Tomorrow James O. Berger Journal of the American Statistical Association, Vol. 95, No. 452 (Dec., 2000), pp. 1269-1276 Subjects: Statistics Key terms: bayesian, bayes, statistic, analysis, frequentist, software, vignette, prior, dawid, bernardo, kadane, subjective, carlin, model, springer, objective, smith, berry, elicitation, inference, robust, degroot, wiley CiteRank: 0.5674 More Info
3.	Bayesian Econometrics Arnold Zellner Econometrica, Vol. 53, No. 2 (Mar., 1985), pp. 253-269 Subjects: Statistics, Finance, Development Studies Key terms: bayesian, posterior, prior, econometrics, variable, model, equation, parameter, bayes, information, vector, supply, exogenou, procedure, estimation, demand, function, matrix, econometrician, estimator, fisher, jeffrey, autoregressive, prediction CiteRank: 0.5686 More Info
4.	Bayesian Methods in Conservation Biology Paul R. Wade Conservation Biology, Vol. 14, No. 5 (Oct., 2000), pp. 1308-1316 Subjects: Statistics, Zoology Key terms: bayesian, population, posterior, frequentist, decline, distribution, bayes, probability, parameter, method, prior, likelihood, statistical, raftery, hypothesis, decision, analysis, slope, uncertainty, abundance, fishery, function, inference, statistic CiteRank: 0.9446 More Info
5.	A Comparison of the Optimal Ordering Levels of Bayesian and Non-Bayesian Inventory Models Katy S. Azoury, Bruce L. Miller Management Science, Vol. 30, No. 8 (Aug., 1984), pp. 993-1003 Subjects: Statistics, Transportation Studies, Mathematics Key terms: bayesian, inventory, model, demand, period, ordering, lemma, repair, distribution, marshak, optimal, parameter, approximation, optimality, prior, bayes, dynamic, decision, probability, theorem, item, echelon CiteRank: 0.7901 More Info
6.	Bayesian Statistics and Marketing Peter E. Rossi, Greg M. Allenby Marketing Science, Vol. 22, No. 3 (Summer, 2003), pp. 304-328 Subjects: Marketing & Advertising, Statistics, Transportation Studies Key terms: bayesian, model, parameter, prior, posterior, distribution, likelihood, normal, latent, inference, conditional, method, approach, heterogeneity, variable, bayes, decision, disaggregate, statistic, multivariate, probability, information, hierarchical, specification, mixture CiteRank: 0.9188 More Info
7.	Why Isn't Everyone a Bayesian? B. Efron The American Statistician, Vol. 40, No. 1 (Feb., 1986), pp. 1-5 Subjects: Statistics, Marketing & Advertising Key terms: bayesian, frequentist, inference, fisherian, objectivity, theory, bayes, fisher, statistic, finetti, prior, estimation, stein, situation, likelihood, probability, interval, correct, improper, decision, lindley, objective, solution, example CiteRank: 0.9912 More Info
8.	Bayesian Forecasting P. J. Harrison, C. F. Stevens Journal of the Royal Statistical Society. Series B (Methodological), Vol. 38, No. 3 (1976), pp. 205-247 Subjects: Statistics, Finance, Transportation Studies, Mathematics Key terms: forecasting, model, bayesian, kalman, process, linear, vector, observation, parameter, disturbance, uncertainty, filter, noise, equation, modeller, parametric, variance, system, random, forecaster, prediction, seasonality CiteRank: 0.9995 More Info
9.	Teaching Elementary Bayesian Statistics with Real Applications in Science Donald A. Berry The American Statistician, Vol. 51, No. 3 (Aug., 1997), pp. 241-246 Subjects: Statistics, Social Work Key terms: bayesian, frequentist, statistic, elementary, probability, student, bayes, course, statistician, approach, theorem, prior, perspective, scientist, interval, confidence, science, distribution, hour, method, density CiteRank: 0.6633 More Info
10.	Discussion: Should Ecologists Become Bayesians? Brian Dennis Ecological Applications, Vol. 6, No. 4 (Nov., 1996), pp. 1095-1103 Subjects: Statistics Key terms: bayesian, frequentist, probability, model, ecologist, parameter, likelihood, statistic, statistical, belief, sampling, prior, randomization, ecology, random, scientific, posterior, bayes, confidence, taper, sample, analysis, fiducial, inference CiteRank: 0.9335 More Info

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