Log-Likelihood Ratio (LLP)
Log Likelihood Ratio Based Quantizer Design for Target Tracking in Wireless Sensor Networks
... proposed log likelihood ratio (LLR) based quantizer algorithm, used to reduce the number of sensors transmitting to the FC and obtaining detailed information from those ...
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An improved scheme based on log likelihood ratio for lattice reduction aided MIMO detection
... Lattice reduction (LR)-aided detectors have been shown great potentials in wireless communications for their low complexity and low bit-error-rate (BER) performance. The LR algorithms use the unimodular transformation to ...
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Analysis of computational approaches for motif discovery
... the log likelihood ratio is applied as the objective function, the ultimate classifier would be a threshold of the log likelihood ratio score so that all the binding sites are ...
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LDPC Coded OFDM Transmission Based on Adaptive Power Weights in Cognitive Radio Systems
... of Log Likelihood Ratio (LLR) during this iterative decoding as the reliability factor is investigated and it is shown that the BER is im- proved ...
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Detection of continuous-time quaternion signals in additive noise
... problems are tackled. First, we study the detection of a quaternion deterministic signal in quaternion Gaus- sian noise. The main result is a version of the Pitcher’s Theorem adapted to the quaternion domain. The ...
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On Log Likelihood Ratios and the Significance of Rare Events
... Since it was first introduced to the NLP commu- nity by Dunning (1993), the G 2 log-likelihood-ratio statistic 1 has been widely used in statistical NLP as a measure of strength of association, ...
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A Chi Square Approximation for the F Distribution
... order. Lawley’s proof is very complicated. Barndorff-Nielsen and Cox [11] discuss a much simpler derivation based on the saddlepoint approximation. However, the Bartlett factor, b , in general, is very difficult to ...
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Inference for the Normal Mean with Known Coefficient of Variation
... Inference for the mean of a normal distribution with known coefficient of variation is of special theoretical interest be- cause the model belongs to the curved exponential family with a scalar parameter of interest and ...
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A Finite Set Recognition Algorithm of LDPC Coding by Using Soft Decision Sequence
... Abstract. Aiming at Finite set identification problem of the channel encoding of LDPC code identification system, a novel coding identification algorithm for LDPC Codes using Soft decision sequence is proposed in this ...
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The strong deviation theorem for discrete time and continuous state nonhomogeneous Markov chains
... average log-likelihood ratio, as a measure of the difference between the sequence of random variables and Markov chains, is introduced, and by constructing a nonnegative martingale, the strong ...
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Ranking Relevant Verb Phrases Extracted from Historical Text
... The log likelihood ratio is always given as a pos- itive ...the log likelihood ratio is prefixed with a minus sign, and treated as representing the prob- ability that the phrase ...
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Semiparametric Likelihood Ratio Inference
... hood ratio statistic reduces to a function of a vector statistic (often a Lagrange multiplier), simplifying the asymptotic analysis ...lihood ratio test to form a confidence interval for a regression ...
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Real estate prices in Japan and Lewis turning point
... From the estimated state variables, Figure1 shows the profit rate of technical progress (AK), the population increasing or decreasing the ratio (m), property prices (Q), using real estate area (X), the bank ...
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Risk in the EU banking industry and efficiency under quantile analysis
... the likelihood that the efficiency in the extra year might drift further away from its long term level shows that a six year period reasonably balances these ...
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Methods for the Qualitative Evaluation of Lexical Association Measures
... Examining the precision and recall graphs in more detail, we find that for the AdjN data Figure 1, log-likelihood and t-test lead to the best results, with log-likelihood giving an overa[r] ...
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The Laplace Likelihood Ratio Test for Heteroscedasticity
... normal likelihood tests concerning covariance matrices is covered in detail in the book of Muirhead ...The likelihood ratio λ N is an interesting statistic, and λ 2/n N can be viewed as the ...
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Isolation, purification, structural analysis and coagulatory activity of water-soluble polysaccharides from Ligustrum lucidum Ait flowers
... polysaccharides were mostly viscous and unstable col- loidal solution. The relative molecular mass of the com- ponents contained in the colloidal solution was different, and the pharmacological activity of ...
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O(log log Rank) competitive ratio for the Matroid Secretary Problem
... Main result We present here a Known-Cardinality algorithm with a competitive-ratio of O(log log ρ). The algorithm is also Order-Oblivious as defined by Azar et al. [2]). Definition 13 is a citation ...
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The ratio log concavity of the Cohen numbers
... Author details 1 School of Statistics and Information, Shanghai University of International Business and Economics, Shanghai, 201620, P.R.. 2 School of Mathematics, Nanjing Normal Univer[r] ...
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Optimizing Question Answering Accuracy by Maximizing Log Likelihood
... In this paper we demonstrate that there is a strong correlation between the Ques- tion Answering (QA) accuracy and the log-likelihood of the answer typing com- ponent of our statistical QA model. We exploit ...
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