ddahlem's bayesian [42 articles] Export

Recent papers added to ddahlem's library classified by the tag bayesian. You can also see everyone's bayesian.

	Bayesian Design and Analysis of Computer Experiments: Two Examples [My Copy] Statistica Sinica, Vol. 2, No. 2. (July 1992), pp. 359-379. by Toby J. Mitchell, Max D. Morris posted to simulation leave-one-out design cross-validation bayesian 1992 by ddahlem on 2009-12-04 16:43:59 as
	Adaptive Design and Analysis of Supercomputer Experiments [My Copy] Technometrics, Vol. 51, No. 2. (2009), pp. 130-145. by Robert B. Gramacy, Herbert K. H. Lee posted to super-computer simulation sequential hpc gaussian-process bayesian active-learning by ddahlem on 2009-09-05 16:00:05 as
	Bayesian Prediction of Deterministic Functions, with Applications to the Design and Analysis of Computer Experiments [My Copy] Journal of the American Statistical Association, Vol. 86, No. 416. (1991), pp. 953-963. by Carla Currin, Toby Mitchell, Max Morris, Don Ylvisaker posted to kriging experiment design bayesian 1991 by ddahlem on 2009-09-03 18:05:17 as
	Hierarchical Modeling and Analysis for Spatial Data (Monographs on Statistics and Applied Probability) [My Copy] (17 December 2003) by Sudipto Banerjee, Bradley, Alan E. Gelfand posted to spatial_data spatial_analysis kriging inference hierarchical_modeling bayesian 2003 by ddahlem on 2009-09-03 10:55:43 as along with 3 people famuvie surajitray orm
	A Bayesian Sampling Approach to Exploration in Reinforcement Learning [My Copy] In Proceedings of The 25th Conference on Uncertainty in Artificial Intelligence (UAI-09) (18-21 June 2009) by John Asmuth, Lihong Li, Michael L. Littman, Ali Nouri, David Wingate posted to 2009 bayesian exploration reinforcement-learning by ddahlem on 2009-06-26 12:16:28 as
	Bayesian Data Analysis [My Copy] (01 June 1995) by Andrew Gelman, John B. Carlin, Hal S. Stern, Donald B. Rubin, A. Gelman posted to 2004 bayesian book mc mcmc by ddahlem on 2009-04-11 17:25:18 as along with 1 person amsantos
	Probabilistic inference using Markov chain Monte Carlo methods [My Copy] (September 1993) by Radford M. Neal posted to 1993 bayesian gibbs hmc inference markov-chain mc mcmc metropolis monte-carlo by ddahlem on 2009-01-28 09:31:50 as
	Evaluation of gaussian processes and other methods for non-linear regression [My Copy] (1997) by Carl E. Rasmussen posted to bayesian gaussian-process hybrid-monte-carlo mcmc monte-carlo non-linear phd regression by ddahlem on 2008-11-07 15:11:36 as
	Likelihood and Bayesian inference and computation [My Copy] In Data Analysis Using Regression and Multilevel/Hierarchical Models (18 December 2006), pp. 387-414. by Andrew Gelman, Jennifer Hill posted to 2006 bayesian inference regression by ddahlem on 2008-11-07 15:04:38 as along with 8 people fghjorth lfriedl asmusolsen fredrikhw athomas jklugman plm gareth
	Monte Carlo Implementation of Gaussian Process Models for Bayesian Regression and Classification [My Copy] (28 Jan 1997), pp. 1-24. by Radford M. Neal posted to 1997 bayesian gaussian-process hmc hybrid-monte-carlo mc mcmc monte-carlo regression by ddahlem on 2008-11-07 14:57:23 as
	General Design Bayesian Generalized Linear Mixed Models [My Copy] Statistical Science, Vol. 21, No. 1. (20 Jun 2006), pp. 35-51. by Y. Zhao, J. Staudenmayer, B. A. Coull, M. P. Wand posted to 2006 bayesian generalized-linear-mixed-model glmm kriging markov-chain mcmc monte-carlo response-surface by ddahlem on 2008-02-11 11:06:05 as
	Bayesian spatial prediction [My Copy] Environmental and Ecological Statistics, Vol. 6, No. 2. (1 June 1999), pp. 147-171. by Marie Gaudard, Marvin Karson, Ernst Linder, Debajyoti Sinha posted to 1999 analysis bayesian kriging model response-surface sensitivity simulation by ddahlem on 2008-02-11 11:02:20 as
	Why do we need and how should we implement Bayesian kriging methods [My Copy] Stochastic Environmental Research and Risk Assessment, Vol. 22, No. 5. (1 August 2008), pp. 621-632. by Jürgen Pilz, Gunter Spöck posted to 2007 bayesian kriging response-surface simulation by ddahlem on 2008-02-11 11:00:47 as along with 1 person renreff
	Geostatistical approach to bayesian inversion of geophysical data: Markov chain Monte Carlo method [My Copy] Earth, planets and space (Earth planets space), Vol. 53, No. 8. (2001), pp. 777-791. by Oh Seok-Hoon, Kwon Byung-Doo posted to 2001 analysis bayesian markov-chain mcmc monte-carlo uncertainty by ddahlem on 2008-02-11 10:59:04 as
	Parameter space exploration with Gaussian process trees [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004) by Robert B. Gramacy, Herbert K. H. Lee, William G. Macready posted to 2004 adaptive bayesian gaussian sampling simulation treed by ddahlem on 2008-02-11 10:52:15 as
	Uncertainty Analysis and other Inference Tools for Complex Computer Codes [My Copy] In Bayesian Statistics 6: Proceedings of the Sixth Valencia International Meeting (1998), pp. 503-524. by A. O'Hagan, M. C. Kennedy, J. E. Oakley edited by J. M. Bernardo, J. O. Berger, A. P. Dawid, A. F. M. Smith posted to 1998 analysis bayesian gaussian inference model simulation uncertainty by ddahlem on 2008-02-11 10:49:53 as
	Probabilistic sensitivity analysis of complex models: a Bayesian approach [My Copy] Journal of the Royal Statistical Society: Series B (Statistical Methodology), Vol. 66, No. 3. (August 2004), pp. 751-769. by Jeremy E. Oakley, Anthony Ohagan posted to 2004 analysis bayesian inference model sensitivity simulation uncertainty by ddahlem on 2008-02-11 10:39:04 as along with 4 people and 2 groups Sangrasi hamish Flit eme biodiversity_conservation Global_biodiversity_model
	A Framework for Validation of Computer Models [My Copy] Technometrics, Vol. 49, No. 2. (May 2007), pp. 138-154. by Bayarri, J. Maria, Berger, et al.O. James, Paulo, Rui, Sacks, Jerry, Cafeo, A. John, Cavendish, James, Lin, Chin-Hsu, Tu, Jian posted to 2007 bayesian model simulation uncertainty validation by ddahlem on 2008-02-11 10:34:36 as
	Computer model validation with functional output [My Copy] Annals of Statistics, Vol. 35, No. 5. (2007), pp. 1874-1906. by M. J. Bayarri, D. Walsh, J. O. Berger, et al.J. Cafeo, G. Garcia-Donato, F. Liu, J. Palomo, R. J. Parthasarathy, R. Paulo, J. Sacks posted to 2007 bayesian model simulation uncertainty validation by ddahlem on 2008-02-11 10:32:03 as
	A methodology for evaluating system-level uncertainty in the conceptual design of complex multidisciplinary systems [My Copy] (May 2005) by Jay D. Martin posted to 2005 bayesian design kriging markov mcmc monte-carlo optimization simulation uncertainty by ddahlem on 2008-01-20 13:11:41 as
	Technical Introduction: A Primer on Probabilistic Inference [My Copy] (January 2006) by Thomas L. Griffiths, Alan L. Yuille posted to 2006 bayesian em inference markov-chain mcmc monte-carlo probability statistics by ddahlem on 2008-01-18 14:37:09 as
	Bayesian methods for discrete event simulation [My Copy] In WSC '04: Proceedings of the 36th conference on Winter simulation (2004), pp. 89-100. by Stephen E. Chick posted to 2004 bayesian discrete-event simulation by ddahlem on 2007-12-14 13:56:57 as along with 1 person cottrell
	A Bayesian Analysis of Kriging [My Copy] Technometrics, Vol. 35, No. 4. (1993), pp. 403-410. by Mark S. Handcock, Michael L. Stein posted to 1993 bayesian kriging meta-modelling response-surface by ddahlem on 2007-12-14 13:55:19 as along with 1 person famuvie
	Bayesian analysis of computer code outputs: A tutorial [My Copy] Reliability Engineering & System Safety In The Fourth International Conference on Sensitivity Analysis of Model Output (SAMO 2004) - SAMO 2004, Vol. 91, No. 10-11. ( 2006), pp. 1290-1300. by A. O'Hagan posted to 2004 bayesian simulation tutorial uncertainty by ddahlem on 2007-12-14 13:53:47 as
	Sequential MCMC for Bayesian model selection Sequential MCMC for Bayesian model selection [My Copy] Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on In Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on (1999), pp. 130-134. by C. Andrieu, C. Andrieu, N. De Freitas, N. De Freitas, A. Doucet, A. Doucet posted to 1999 bayesian markov-chain mcmc model monte-carlo by ddahlem on 2007-12-14 13:51:49 as along with 2 people ruzel samedi
	Bayesian Model Choice via Markov Chain Monte Carlo Methods [My Copy] by Bradley P. Carlin, Siddhartha Chib posted to 1995 bayesian markov-chain mcmc model monte-carlo by ddahlem on 2007-12-14 13:50:48 as along with 3 people fordela maxin106 pcarbo
	On Bayesian model and variable selection using MCMC [My Copy] Statistics and Computing, Vol. 12, No. 1. (1 January 2002), pp. 27-36. by Petros Dellaportas, Jonathan J. Forster, Ioannis Ntzoufras posted to 2000 bayesian gibbs markov-chain mcmc metropolis model monte-carlo by ddahlem on 2007-12-14 13:49:44 as along with 2 people fordela ldietz
	Marginal Likelihood From the Metropolis-Hastings Output [My Copy] pp. 270-281. by S. Chib posted to 2001 bayesian metropolis model by ddahlem on 2007-12-14 13:47:54 as along with 1 person ppeeling
	Markov Chain Monte Carlo Methods for Computing Bayes Factors: A Comparative Review [My Copy] pp. 1122-1132. by C. Han posted to 2001 bayesian gibbs markov-chain mcmc metropolis monte-carlo by ddahlem on 2007-12-14 13:46:23 as along with 1 person ppeeling
	On Monte Carlo methods for Bayesian inference [My Copy] Ecological Modelling, Vol. 159, No. 2-3. (15 January 2003), pp. 269-277. by Song S. Qian, Craig A. Stow, Mark E. Borsuk posted to 2003 bayesian bmc inference mcmc monte-carlo by ddahlem on 2007-10-03 08:27:23 as along with 1 person nurban
	A Monte Carlo simulation of the kriging model [My Copy] In 10th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference; Albany, NY (August 2004) by Jay Martin, Timothy Simpson posted to 2004 bayesian kriging markov markov-chain markov-process maximum-likelihood-estimation meta-modelling monte-carlo response-surface simulation optimization by ddahlem on 2007-09-05 10:22:56 as
	Bayesian meta-modelling of engineering design simulations: a sequential approach with adaptation to irregularities in the response behaviour [My Copy] International Journal for Numerical Methods in Engineering, Vol. 62, No. 15. (2005), pp. 2104-2126. by A. Farhang-Mehr, S. Azarm posted to 2005 adaptive bayesian kriging meta-modelling response-surface sequential simulation by ddahlem on 2007-09-04 15:20:10 as
	A Bayesian Framework for Reinforcement Learning [My Copy] In Proc. 17th International Conf. on Machine Learning (2000), pp. 943-950. by Malcolm Strens posted to 2000 ai bayesian reinforcement-learning statistics by ddahlem on 2006-05-22 11:09:03 as along with 5 people and 1 group cez_etc rpadams garyfeng gonium vlachmore ReadingLab
	Model-Based Clustering, Discriminant Analysis and Density Estimation. [My Copy] Journal of the American Statistical Association, Vol. 97, No. 458. (June 2002), pp. 611-632. by Chris Fraley, Adrian E. Raftery posted to 2002 cluster-analysis mixture-model statistics bayesian by ddahlem on 2006-05-17 15:35:52 as
	Dynamic Workflow Composition Using Markov Decision Process [My Copy] International Journal of Web Services Research, Vol. 2, No. 1. (2005), pp. 1-17. by Prashant Doshi, Richard Goodwin, Rama Akkiraju, Kunal Verma posted to 2005 adpative ai bayesian-learning composition dynamic mdp service-oriented soa web-service bayesian by ddahlem on 2006-04-16 18:03:26 as
	Bayesian learning in negotiation [My Copy] International Journal of Human-Computer Studies, Vol. 48, No. 1. (January 1998), pp. 125-141. by Dajun Zeng, Katia Sycara posted to 1998 bayesian learning negotiation by ddahlem on 2006-02-11 17:00:02 as along with 1 person johnwilkes
	Bayesian Reinforcement Learning for Coalition Formation under Uncertainty [My Copy] In AAMAS '04: Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems (2004), pp. 1090-1097. by Georgios Chalkiadakis, Craig Boutilier posted to 2004 ai bayesian coalition learning reinforcement-learning team uncertainty by ddahlem on 2006-02-07 11:25:12 as
	Coordination in multiagent reinforcement learning: a Bayesian approach [My Copy] In AAMAS '03: Proceedings of the second international joint conference on Autonomous agents and multiagent systems (2003), pp. 709-716. by Georgios Chalkiadakis, Craig Boutilier posted to 2003 agent ai bayesian cooperation learning multi-agent reinforcement-learning by ddahlem on 2006-02-07 11:15:35 as along with 2 people and 1 group pverstra jzniu macc
	A tutorial on learning with bayesian networks [My Copy] (1995) by D. Heckerman posted to 1995 bayesian inference learning modelling network structure uncertainty by ddahlem on 2006-02-05 14:00:27 as along with 44 people and 8 groups Sergey_gerbek ingo Gorzomagnificent pwz mhofree soidis m0ta korakot A_Olympia neilernst JoSeK jrw waffle168 davidbroadhurst biplabbose tsprau2 garyfeng aufrank grimm okarsligil rkdeexit bayesian mystiphiliac kresala stvijayanand lyongu eustatic tystl wnpx pverstra proportional llamerada torch eman_fcis cerkut tvdbulck jaspervoskuilen ajylha eacebo helsley pprett dcastro tessaverhoef frohike Philosophy_of_Information Blog_and_Wiki_Research mgh-lcs ReadingLab ur-cls Bioinformatics macc contact-id
	Learning the Structure of Dynamic Probabilistic Networks [My Copy] In 15th Annual Conference on Uncertainty in Artificial Intelligence (1999), pp. 139-147. by Nir Friedman, Kevin Murphy, Stuart Russell posted to 1999 bayesian inference learning structure by ddahlem on 2006-02-03 16:54:55 as along with 3 people ryang wnpx sj777
	Inference in Bayesian networks [My Copy] Nat Biotech, Vol. 24, No. 1. (01 January 2006), pp. 51-53. by Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, David R. Westhead posted to 2006 bayesian inference network statistics by ddahlem on 2006-02-03 16:45:55 as along with 13 people and 3 groups jxl abhishek_tiwari richardbickerton Yanno jrw garyfeng okarsligil Borelli lujiec kozlak jo_davies quianominorleo Pragmatist ReadingLab Bioinformatics ThinkBridge
	A Bayesian truth serum for subjective data. [My Copy] Science, Vol. 306, No. 5695. (15 October 2004), pp. 462-466. by D. Prelec posted to 2004 bayesian belief modelling opinion subjective_data truth by ddahlem on 2006-02-01 10:21:12 as along with 12 people and 4 groups Yanno klouie stefanherzog jrw garyfeng schaal Borelli eibin proportional suizan SamMartin quianominorleo Glimcher_Lab ReadingLab NoncommutativeGeometry ACS-Basel

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network	116
2004	92
2005	86
reinforcement-learning	85
2006	80
simulation	80
complex	76
web-service	62
2003	58
multi-agent	58
soa	56
statistics	53
kriging	51
2002	51
optimization	49
design	47
2007	46
composition	44
bayesian	42
service-oriented	42
2009	41
ai	40
learning	40
response-surface	37
software	34
2001	34
agent	33
monte-carlo	31
engineering	30
development	30
1999	29
self-organization	29
social	29
p2p	24
game-theory	24
1998	24
mcmc	22
cooperation	22
function-approximation	22
2008	22
q-learning	22
qos	21
social-network	21
scale-free	20
book	20
complexity	20
2000	19
small-world	18
centrality	18
uncertainty	17
pattern	16
modelling	16
betweenness	16
dynamics	16
flow	15
power-law	15
meta-modelling	15
stochastic	15
markov-chain	15
overview	15
emergence	14
1996	14
survey	14
model	14
routing	14
traffic	14
dynamic	14
neural-network	14
adaptive	14
evolution	14
inference	13
random	13
discrete-event	12
analysis	12
object-oriented	12
mc	12
markov	12
td	11
motif	11
mdp	11
web	11
metric	10
1997	10
entropy	10
graph	10
1995	10
1994	10
equation-free	10
petri-net	10
aco	9
load-balancing	9
biology	9
metropolis	9
weighted	9
ranking	9
queueing-theory	9
finance	9
multiscale	8
information-theory	8
science	8
sociality	8
random-number	8
collaboration	8
philosophy	8
semantic	8
search	8
wsdl	8
probability	8
decision	7
parallel-computing	7
ant	7
temporal-difference	7
dynamic-system	7
introduction	7
c	7
convergence	7
decentralised	7
congestion	7
middleware	7
performance	7
standards	7
social-analysis	7
autonomic-computing	7
sequential	7
economics	7
review	7
sampling	7
gibbs	7
exploration	7
queue	7
1992	7
eigenvector	6
distributed	6
pagerank	6
1993	6
swarm-intelligence	6
metamodel	6
reliability	6
power	6
programming	6
resource-allocation	6
control	5
hpc	5
priority-queue	5
negotiation	5
hierarchy	5
canonical-analysis	5
growth	5
neural	5
sarsa	5
service	5
aspect-oriented	5
complex_system	5
confidence-interval	5
soap	5
genetic_algorithm	5
thermodynamics	5
coordination	5
stochasticity	5
www	5
1989	5
latin-hypercube	5
trust	5
aop	5
gaussian-process	5
conjugate-gradient	5
aspect	5
semantic-web	5
history	5
error	5
cluster-coefficient	5
information-retrieval	5
team	5
gpu	5
cuda	5
experiment	5
regression	5
vision	4
structure	4
directed	4
workflow	4
task-assignment	4
assortativity	4
coupling	4
r	4
gaussian	4
bifurcation	4
boltzmann	4
hybrid-rl	4
markov-process	4
discovery	4
aggregation	4
algorithm	4
bpel	4
collective-intelligence	4
power-analysis	4
random-number-generator	4
correlation	4
internet	4
1986	4
community	4
high-performance-computing	4
matrix	4
1990	4
bootstrap	4
transaction	4
security	4
ridge-analysis	4
ego	3
levy-process	3
reward	3
psychology	3
simulated-annealing	3
management	3
registry	3
biological-inspired	3
order	3
strong-ties	3
java	3
feedback	3
coalition	3
commentary	3
neuroscience	3
xml	3
mathematics	3
ecosystem	3
welfare	3
robust	3
closeness	3
component-oriented	3
1980	3
language	3
mpi	3
machine-learning	3
jackknife	3
corba	3
nature	3
scaling-law	3
taxonomy	3
component	3
credit-assignment	3
1981	3
fitness	3
preferantial-attachment	3
sensitivity	3
geostatistics	3
modularity	3
mle	3
distributed-system	3
technological	3
decision-making	3
communication	3
cellular_automata	3
ga	3
ego-network	3
wilson	3
cohesion	3
random-variables	3
comparison	3
nash	3
task-allocation	3
neuroeconomics	3
process	3
auto-correlation	3
coin	3
1988	3
genetic-algorithm	2
eigenvalue	2
discussion	2
lattice	2
free-lunch	2
dht	2
social-choice	2
deterministic	2
hub	2
braess	2
sub-graph	2
dai	2
wfms	2
google	2
supervised-learning	2
cluster-analysis	2
1983	2
weak-ties	2
efficiency	2
splines	2
planning	2
authorization	2
reasoning	2
stability	2
productivity	2
uml	2
synchronization	2
reinforcement-learing	2
webgraph	2
access-control	2
regret	2
steepest-descent	2
von-neumann	2
examples	2
1960	2
grid	2
web-search	2
robustness	2
resampling	2
reinforcement	2
beta-process	2
aspectj	2
information	2
learning-automata	2
ba	2
systems-theory	2
time-stepper	2
intelligence	2
singleton	2
numerical	2
cognitive	2
backpropagation	2
wonderful-life-utility	2
cross-validation	2
jeffreys	2
standard-error	2
gamma-process	2
phd	2
importance	2
wald	2
global	2
rl	2
gis	2
failure	2
tsp	2
maximum-likelihood-estimation	2
anthill	2
list	2
physics	2
tutorial	2
cluster	2
parallel	2
corporation	2
rpc	2
authentication	2
asset-pricing	2
algebra	2
swindew	2
second-law	2
stigmergy	2
architecture	2
sorting	2
active-learning	2
gossip	2
certificate	2
queuing-theory	2
zipf-law	2
mean	2
metaheuristics	2
1991	2
autonomous	2
online	2
modular	2
uddi	2
validation	2
openmp	2
significance	2
comment	2
organization	2
robot	2
1982	2
brain	2
product-development	2
computing	2
1972	2
graph-theory	2
hmc	2
control-flow	2
agile	2
ontology	2
sna	2
least-squares-policy-iteration	2
grid-computing	2
statistical-physics	2
utility	2
class	2
meteor-s	2
statistical-mechanics	2
challenges	2
dec-mdp	2
specification	2
module	2
hybrid-monte-carlo	2
minimum-spanning-tree	2
systems	2
1963	2
multiagent	2
experiments	2
radial-basis	2
e-commerce	2
leave-one-out	1
ordinary	1
super-computer	1
trend	1
crl	1
multi-resolution	1
team-assembly	1
evaluation	1
economic	1
1968	1
reflective_middleware	1
mean-field	1
delay-tolerant	1
freenet	1
eflow	1
critique	1
projection	1
dispatch	1
data-explosion	1
mobile_computing	1
autonomous-experimentation	1
topic	1
binomial	1
reuse	1
1970	1
linear	1
linux	1
pastry	1
zero-sum	1
cplusplus	1
owl	1
distance	1
symmetry	1
multi-criteria	1
peer-sampling	1
esrl	1
cybernetics	1
nashq	1
criticality	1
window	1
mom	1
gnutella	1
layout	1
layer	1
template	1
gradient-ascent	1
adpative	1
nonnormal	1
classification	1
jacobi	1
1987	1
manual	1
paradox	1
linear-algebra	1
deadlock	1
principal-component-analysis	1
epsilon-greedy	1
bagged-tree	1
el	1
freakonomics	1
scientific	1
kamada-kawai	1
gradient	1
cartesian	1
reputation	1
bmc	1
continuous-time	1
business	1
stock	1
credit-cisis	1
likelihood	1
estimation	1
shannon	1
forgetting	1
observer	1
p-value	1
independence	1
content-replication	1
svm	1
discrete_optimization	1
hierarchical_modeling	1
renormalization-group	1
proxy	1
annotation	1
exact	1
1962	1
1985	1
best-practices	1
cloud-computing	1
quality	1
reference-model	1
micro	1
population	1
landscape	1
rejection	1
wpl	1
value-belief	1
terminology	1
sampler	1
fipa_standards	1
virtualization	1
tragedy	1
positive-definite	1
periodic	1

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