MISSING VALUES AT RANDOM
Risk Measures At Risk- Are we missing the point? <br>Discussions around sub-additivity and distortion
... the values obtained for both the VaR and the ES for fully correlated random ...correlated random variables and the sum of the risk measures obtained univariately are really ...taken at the ...
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Co-clustering of ordinal data via latent continuous random variables and not missing at random entries
... to the increased number of k-means initializations. We stress that Figures 9a and 9b refer to the very same simulated dataset. 4.5 Model selection So far, the numbers Q of row clusters and L of column clusters were ...
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Linear predictor on linearly-generated data with missing values: non consistency and solutions
... these missing values, the Bayes-optimal predictor is no longer a linear function of the ...with missing values– show that the sam- ple complexity scales, in general, as 2 d ...a missing ...
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A new effective method for estimating missing values in the sequence data prior to phylogenetic analysis
... available at the following website: h t t p : / / w w ...The random trees were then submitted to the SeqGen program [20] to simulate sequence evolution along their ...simulate missing data in the ...
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NeuMiss networks: differentiable programming for supervised learning with missing values
... of missing values makes supervised learning much more ...of missing patterns, which can be exponential in the number of ...various missing data mechanisms including Missing at ...
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What's a good imputation to predict with missing values?
... Let us define F I ∞ in the exact same way but for imputation functions φ (m) ∈ C ∞ , for all m ∈ {0, 1} d . Here we study Impute-then-regress procedures, which we define as two-step procedures where the data is first ...
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On the consistency of supervised learning with missing values
... ). Missing entries can then be imputed with their conditional expectation knowing the observed data and the estimated ...by random forests ( Stekhoven and B¨ uhlmann , 2011 ), or MICE ( Buuren and ...
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Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering.
... To test the influence of the matrix size, i.e. the number of genes, we built six smaller sets corresponding to 1/2, 1/3, 1/4, 1/5, 1/6 and 1/7 of OS, GS, GS HEAT and GS H2O2 . To obtain representative subsets, we can not ...
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A random matrix model for color superconductivity at zero chemical potential
... In the following, we only consider models for which the single quark propagator is Her- mitean. This choice ensures that the chiral and diquark order parameters can unambiguously be related to the spectral properties of ...
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Measurement of the 12C(e,e'p)11B Two-Body Breakup Reaction at High Missing Momentum
... state. This means the integral value is further reduced by a factor of 0.7, resulting in an occupation number of 2.24 for the p 3 /2 shell. For completeness, the experimental cross section and extracted momentum ...
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Mixing at high Schmidt number in a random array of spheres
... We present experimental results on the mixing of a passive scalar in a flow crossing a random array of spheres. A fluorescent dye having a low molecular diffusivity is injected through a point source in the array ...
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On a conjecture of Montgomery-Vaughan on extreme values of automorphic L-functions at 1
... (iii) Our method can be generalized to prove that Theorems 1 and 2 hold for L(1, sym m f ) when m = 1, 2, 3, 4 and that Theorems 3, 4 and Corollary 5 are true for L(1, sym m g \ (ω); y) when m ≥ 1. Acknowledgements . We ...
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Values of ND,w/NK measured at NMIs for different ion chambers
... the measured ratios and finally, each NMI's measured ratio converted to what the ratio would be if using the BIPM standards (this last number is based on the know ratios of the NMI and BIPM standards for absorbed dose ...
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Random optimization on random sets
... ξ at time T , characterising the set of all portfolio processes pV t q t“0,1,¨¨¨ ,T which satisfy V T " T ...the random orders defined by the solvency sets play a crucial ...of random sets and ...
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Directed Polymers in Random Environment are Diffusive at Weak Disorder
... probability space (Ω, F, P ), which consists of the set Ω of all nearest neighbor paths in Z d , the cylindrical σ-field F, and the distribution P of the d-dimensional simple random walk with ω 0 = 0. On the other ...
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Localization for the random displacement model at weak disorder
... the random displacement model in dimension larger than ...localization at all ener- gies was proven in [ 2 ] and, with different methods and, under more general assumptions, in [ 6 ...
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On a conjecture of Montgomery-Vaughan on extreme values of automorphic L-functions at 1
... Acknowledgements. We began working on this paper in November 2004 during the visit of the first author to l’Institut Elie Cartan de Nancy, and finished in January 2006 when the third author visited School of Mathematics ...
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Delocalization at small energy for heavy-tailed random matrices
... by random Schr¨ odinger operators on trees, see notably [1, 2] for the derivation of the phase diagram at the physical level of rigor, [5, 3, 4] for proofs of localization at strong disorder and high ...
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Nonparametric estimation for survival data with censoring indicators missing at random
... INDICATORS MISSING AT RANDOM ELODIE BRUNEL (1) , FABIENNE COMTE (2) , AGATHE GUILLOUX (3,4,5) ...indicators missing at ...(missing at random, in opposition to MCAR, ...
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Arborified multiple zeta values
... The paper is organized as follows: after a reminder on shuffle and quasi-shuffle Hopf algebras, we describe the two versions of arborification in some detail, and we describe a possible trans- formation from contracted ...
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