Class information for:
Level 1: INTRINSIC PRIORS//BAYES FACTOR//INTRINSIC BAYES FACTOR

Basic class information
ID Publications Average number
of references		 Avg. shr. active
ref. in WoS
7693 1260 28.1 52%


Bar chart of Publication_year

Last years might be incomplete

Classes in level above (level 2)


ID, lev.
above		 Publications Label for level above
1409 7552 DIRICHLET PROCESS//MARKOV CHAIN MONTE CARLO//BAYESIAN NONPARAMETRICS

Terms with highest relevance score


Rank Term Type of term Relevance score
(tfidf)		 Class's shr.
of term's tot.
occurrences		 Shr. of publ.
in class containing
term		 Num. of
publ. in
class
1 INTRINSIC PRIORS Author keyword 51 83% 2% 29
2 BAYES FACTOR Author keyword 51 29% 12% 147
3 INTRINSIC BAYES FACTOR Author keyword 39 80% 2% 24
4 POINT NULL HYPOTHESIS Author keyword 34 93% 1% 13
5 FRACTIONAL BAYES FACTOR Author keyword 27 71% 2% 22
6 INTRINSIC PRIOR Author keyword 23 86% 1% 12
7 BAYES FACTORS Author keyword 16 27% 4% 50
8 INFORMATIVE HYPOTHESIS Author keyword 15 88% 1% 7
9 REVERSIBLE JUMP Author keyword 13 32% 3% 33
10 POSTERIOR PREDICTIVE P VALUE Author keyword 12 59% 1% 13

Web of Science journal categories

Author Key Words


Rank Web of Science journal category Relevance score
(tfidf)		 Class's shr.
of term's tot.
occurrences		 Shr. of publ.
in class containing
term		 Num. of
publ. in
class		 LCSH search Wikipedia search
1 INTRINSIC PRIORS 51 83% 2% 29 Search INTRINSIC+PRIORS Search INTRINSIC+PRIORS
2 BAYES FACTOR 51 29% 12% 147 Search BAYES+FACTOR Search BAYES+FACTOR
3 INTRINSIC BAYES FACTOR 39 80% 2% 24 Search INTRINSIC+BAYES+FACTOR Search INTRINSIC+BAYES+FACTOR
4 POINT NULL HYPOTHESIS 34 93% 1% 13 Search POINT+NULL+HYPOTHESIS Search POINT+NULL+HYPOTHESIS
5 FRACTIONAL BAYES FACTOR 27 71% 2% 22 Search FRACTIONAL+BAYES+FACTOR Search FRACTIONAL+BAYES+FACTOR
6 INTRINSIC PRIOR 23 86% 1% 12 Search INTRINSIC+PRIOR Search INTRINSIC+PRIOR
7 BAYES FACTORS 16 27% 4% 50 Search BAYES+FACTORS Search BAYES+FACTORS
8 INFORMATIVE HYPOTHESIS 15 88% 1% 7 Search INFORMATIVE+HYPOTHESIS Search INFORMATIVE+HYPOTHESIS
9 REVERSIBLE JUMP 13 32% 3% 33 Search REVERSIBLE+JUMP Search REVERSIBLE+JUMP
10 POSTERIOR PREDICTIVE P VALUE 12 59% 1% 13 Search POSTERIOR+PREDICTIVE+P+VALUE Search POSTERIOR+PREDICTIVE+P+VALUE

Key Words Plus


Rank Web of Science journal category Relevance score
(tfidf)		 Class's shr.
of term's tot.
occurrences		 Shr. of publ.
in class containing
term		 Num. of
publ. in
class
1 POINT NULL HYPOTHESIS 23 74% 1% 17
2 FREQUENTIST EVIDENCE 21 85% 1% 11
3 COMPOSITE NULL MODELS 16 44% 2% 28
4 UNKNOWN NUMBER 16 28% 4% 49
5 BAYES FACTORS 15 20% 6% 70
6 LABEL SWITCHING PROBLEM 15 88% 1% 7
7 REVERSIBLE JUMP 13 46% 2% 21
8 NORMALIZING CONSTANTS 12 30% 3% 35
9 PREDICTIVE P VALUES 11 56% 1% 14
10 SCHWARZ CRITERION 11 54% 1% 14

Journals


Rank Web of Science journal category Relevance score
(tfidf)		 Class's shr.
of term's tot.
occurrences		 Shr. of publ.
in class containing
term		 Num. of
publ. in
class
1 BAYESIAN ANALYSIS 6 14% 3% 43

Reviews


Title Publ. year Cit. Active
references		 % act. ref.
to same field
Mixtures of g priors for Bayesian variable selection 2008 170 24 63%
Bayesian model selection: The steepest mountain to climb 2014 4 21 57%
On Sampling Strategies in Bayesian Variable Selection Problems With Large Model Spaces 2013 4 22 86%
Model uncertainty 2004 141 84 71%
Bayesian methods for hidden Markov models: Recursive computing in the 21st century 2002 141 38 37%
MODEL AVERAGING IN ECONOMICS: AN OVERVIEW 2015 2 68 29%
Methods and criteria for model selection 2004 93 46 67%
Transdimensional Markov chains: A decade of progress and future perspectives 2005 57 68 49%
Markov chain Monte Carlo methods for computing Bayes factors: A comparative review 2001 123 24 71%
A Review of Bayesian Variable Selection Methods: What, How and Which 2009 118 37 16%

Address terms


Rank Address term Relevance score
(tfidf)		 Class's shr.
of term's tot.
occurrences		 Shr. of publ.
in class containing
term		 Num. of
publ. in
class
1 BIOINFO 1 38% 0.2% 3
2 METHODS STAT 1 12% 0.8% 10
3 ESTADIST INVEST OPERAT 1 1 19% 0.3% 4
4 CANADA CHAIR CHILD DEV 1 50% 0.1% 1
5 DIPARTIMENTO STAT MATEMAT DIEGO DE CASTRO 1 50% 0.1% 1
6 DSTA DIPARTIMENTO SCI TERRA AMBIENTE 1 50% 0.1% 1
7 ECON EMP S 1 50% 0.1% 1
8 ELECT COMP ENGN PRIMARY 1 50% 0.1% 1
9 ESTADIST INVEST OPERATIVA 1 1 50% 0.1% 1
10 ETUD MILIEUX IONISES REACTIFS 1 50% 0.1% 1

Related classes at same level (level 1)


Rank Relatedness score Related classes
1 0.0000254493 COUPLING FROM THE PAST//ADAPTIVE MARKOV CHAIN MONTE CARLO//GEOMETRIC ERGODICITY
2 0.0000173868 MEAN FIELD VARIATIONAL BAYES//EXPECTATION PROPAGATION//GAUSSIAN PROCESSES MODEL
3 0.0000173115 DIRICHLET PROCESS//BAYESIAN NONPARAMETRICS//POSTERIOR CONSISTENCY
4 0.0000142768 BAYESIAN ROBUSTNESS//CLASS OF PRIORS//CLASSES OF PRIORS
5 0.0000131944 NONEXISTENCE OF PARAMETER ESTIMATES//NONPARAMETRIC INFORMATION BOUNDS//RISK REGRESSION
6 0.0000119618 STATISTICAL ADEQUACY//NEAR MULTICOLLINEARITY//MIS SPECIFICATION TESTING
7 0.0000112357 SEQUENTIAL MONTE CARLO//MIXTURE KALMAN FILTER//STOCHASTIC VOLATILITY
8 0.0000108671 MODEL BASED CLUSTERING//MIXTURE MODELS//NONPARAMETRIC MIXTURE
9 0.0000104232 ASYMPTOTIC DISTRIBUTIONAL RISK//EFFECTIVE INTERVAL//REGRET FUNCTION
10 0.0000086436 PARALLEL LINE BIOASSAY//SLOPE RATIO BIOASSAY//FIELLER METHOD