Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Richard A. Redner"'
Autor:
Richard A. Redner, Riad Masri
Publikováno v:
Journal of Nonparametric Statistics. 17:555-582
Convergence rates for B-spline nonparametric density estimators on bounded and semi-infinite domains are discussed. We show how B-spline estimators can be adjusted to account for edge effects and then determine the mean integrated squared error for t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4fbc833f3cc5304f533fd124f2d0b8b2
https://doi.org/10.1080/10485250500039239
https://doi.org/10.1080/10485250500039239
Autor:
Judith A. Badner, Thomas A. Severini, Sinisa Pajevic, Joan E. Bailey-Wilson, Richard A. Redner, James D. Malley
Publikováno v:
Biometrical Journal. 45:349-366
Summary The TDT provides a hypothesis test for the presence of linkage or association (linkage disequilibrium). However, since the TDT is a single test statistic, it cannot be used to separate association and linkage. The importance of this difficult
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4794a5bde50c5cbcbb8eee1903e62f15
https://doi.org/10.1002/bimj.200390017
https://doi.org/10.1002/bimj.200390017
Autor:
Thomas A. Severini, Richard A. Redner, T. N. Turley, Taura N. Holmes, Joan E. Bailey-Wilson, Diptasri Mandal, R. Jufer, Alexa J.M. Sorant, L. Kao, James D. Malley, Agnes Baffoe-Bonnie, Elizabeth W. Pugh, Jennifer O'Neill, Judith A. Badner, Karen Weissbecker, B. Q. Doan, Silvano Presciuttini, J. L. Goldstein, Dana Behneman, Sinisa Pajevic
Publikováno v:
Scopus-Elsevier
A novel method for joint detection of association caused by linkage disequilibrium (LD) and estimation of both recombination fraction and linkage disequilibrium parameters was compared to several existing implementations of the transmission/disequili
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6bff02552fe72683088ee045fac9e056
https://doi.org/10.1002/gepi.2001.21.s1.s378
https://doi.org/10.1002/gepi.2001.21.s1.s378
Autor:
Richard A. Redner
Publikováno v:
Journal of Nonparametric Statistics. 12:753-777
B-Spline density estimators were discussed by Gehringer and Redner in 1992 [9] and later extended to function estimation using partitions of unity over metric spaces in Redner and Gehringer in 1994 [12] to solve problems in computer graphics. In Part
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::61a9e95690d37aaed0384e8baff375b3
https://doi.org/10.1080/10485250008832833
https://doi.org/10.1080/10485250008832833
Autor:
Richard A. Redner
Publikováno v:
SIAM Journal on Scientific Computing. 20:1929-1953
A B-spline nonparametric density estimator with uniform knots, convenient for solving problems in computer graphics, was discussed by Gehringer and Redner in 1992 [ Comm. Stat. Simulation Methods, 21 (1992) pp. 849--878]. These ideas were later exten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a4fefe6e1165e8935a0508288606a81f
https://doi.org/10.1137/s1064827595291996
https://doi.org/10.1137/s1064827595291996
Publikováno v:
ACM Transactions on Graphics. 14:337-362
In this paper we introduce B-spline illumination maps and their generalizations and extensions for use in realistic image generation algorithms. The B-spline lighting functions (i.e., illumination maps) are defined as weighted probability density fun
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08945ec9bc825898e9917d72d8b875aa
https://doi.org/10.1145/225294.225296
https://doi.org/10.1145/225294.225296
Autor:
Richard A. Redner, Kevin R. Gehringer
Publikováno v:
Communications in Statistics - Theory and Methods. 23:2059-2078
We present a new nonparametric function estimate based on partitions of unity. These density estimates are applicable not only to subsets of R n but to arbitrary metric spaces. They can be used for estimating conditional expectations, and for constru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dea288097876ebc547f9be2d96d3a759
https://doi.org/10.1080/03610929408831371
https://doi.org/10.1080/03610929408831371
Autor:
Richard A. Redner, Kevin A. O’Neil
Publikováno v:
Applied Mathematics Letters. 5:37-40
A simple expression is derived for the cumulants of the asymptotic distribution of U-statistics of arbitrary degree with degenerate kernels.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d221931d464d887cd5943eaaabc305e6
https://doi.org/10.1016/0893-9659(92)90108-l
https://doi.org/10.1016/0893-9659(92)90108-l
Autor:
Kevin R. Gehringer, Richard A. Redner
Publikováno v:
Communications in Statistics - Simulation and Computation. 21:849-878
We present a new nonparametric density estimate based on normalized tensor B–Splines. We show under the expected conditions that the non- parametric density estimate converges in mean square error and integrated mean square error. Results of simula
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6622904b9e4b70daa3266e3f05f022b3
https://doi.org/10.1080/03610919208813053
https://doi.org/10.1080/03610919208813053
Autor:
Richard A. Redner, Kevin A. O’Neil
Publikováno v:
Journal of Statistical Physics. 62:399-410
For systems with finite phase space volume, the density of states can be viewed as a multiple of the probability density of the energy, when the phase space variables are independent uniformly distributed random variables. We show that the distributi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e29ddb6abe09150ef22a1690b2c0cde
https://doi.org/10.1007/bf01020875
https://doi.org/10.1007/bf01020875