Results 11 to 20 of about 2,698,368 (301)
Accurate and robust phylogeny estimation based on profile distances: a study of the Chlorophyceae (Chlorophyta) [PDF]
BMC Evolutionary Biology, 2004 Background In phylogenetic analysis we face the problem that several subclade topologies are known or easily inferred and well supported by bootstrap analysis, but basal branching patterns cannot be unambiguously estimated by the usual methods (maximum ...
Rahmann Sven +3 more
doaj +2 more sources
Adaptive Transferred-profile Likelihood Learning
2016 International Joint Conference on Neural Networks (IJCNN), 2016 Adaptive Transferred-profile Likelihood ...
Son Tran (16684752) +1 more
core +3 more sources
Maximum likelihood, profile likelihood, and penalized likelihood: a primer. [PDF]
Am J Epidemiol, 2014 The method of maximum likelihood is widely used in epidemiology, yet many epidemiologists receive little or no education in the conceptual underpinnings of the approach. Here we provide a primer on maximum likelihood and some important extensions which have proven useful in epidemiologic research, and which reveal connections between maximum likelihood
Cole SR, Chu H, Greenland S.
europepmc +6 more sources
a short word on profile likelihood
Freakonometrics, 2012 Profile likelihood is an interesting theory to visualize and compute confidence interval for estimators (see e.g. Venzon & Moolgavkar (1988)). As we will use is, we will plot But more generally, it is possible to consider where .
Arthur Charpentier
core +3 more sources
Profile Likelihood and Incomplete Data. [PDF]
Int Stat Rev, 2010 Summary According to the law of likelihood, statistical evidence is represented by likelihood functions and its strength measured by likelihood ratios. This point of view has led to a likelihood paradigm for interpreting statistical evidence, which carefully distinguishes evidence about a parameter from error probabilities and personal belief.
Zhang Z.
europepmc +5 more sources
Optimal Experimental Design Based on Two-Dimensional Likelihood Profiles
Frontiers in Molecular Biosciences, 2022 Dynamic behavior of biological systems is commonly represented by non-linear models such as ordinary differential equations. A frequently encountered task in such systems is the estimation of model parameters based on measurement of biochemical compounds.
Tim Litwin +8 more
doaj +1 more source
On the likelihood of Condorcet's profiles [PDF]
Social Choice and Welfare, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Fabrice Valognes +2 more
openaire +3 more sources
Generalised likelihood profiles for models with intractable likelihoods
Statistics and Computing, 2023 Likelihood profiling is an efficient and powerful frequentist approach for parameter estimation, uncertainty quantification and practical identifiablity analysis. Unfortunately, these methods cannot be easily applied for stochastic models without a tractable likelihood function.
David J. Warne +4 more
openaire +4 more sources
Bayesian Inference in Extremes Using the Four-Parameter Kappa Distribution
Mathematics, 2020 Maximum likelihood estimation (MLE) of the four-parameter kappa distribution (K4D) is known to be occasionally unstable for small sample sizes and to be very sensitive to outliers.
Palakorn Seenoi +2 more
doaj +1 more source
Estimating uncertainty of model parameters obtained using numerical optimisation [PDF]
Modeling, Identification and Control, 2019 Obtaining accurate models that can predict the behaviour of dynamic systems is important for a variety of applications. Often, models contain parameters that are difficult to calculate from system descriptions.
Ole Magnus Brastein +3 more
doaj +1 more source