Year |
Citation |
Score |
2023 |
Puhl CJ, Wefelmeyer W, Burrone J. Cholinergic Stimulation Modulates the Functional Composition of CA3 Cell Types in the Hippocampus. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 43: 4972-4983. PMID 37277177 DOI: 10.1523/JNEUROSCI.0966-22.2023 |
0.665 |
|
2020 |
Pan-Vazquez A, Wefelmeyer W, Gonzalez Sabater V, Neves G, Burrone J. Activity-Dependent Plasticity of Axo-axonic Synapses at the Axon Initial Segment. Neuron. PMID 32109363 DOI: 10.1016/J.Neuron.2020.01.037 |
0.651 |
|
2019 |
Engelhardt M, Jamann N, Wefelmeyer W. Small domain, large consequences: the axon initial segment as a key player in neuronal excitability Neuroforum. 25: 49-60. DOI: 10.1515/nf-2018-0023 |
0.543 |
|
2017 |
Wright R, Newey SE, Ilie A, Wefelmeyer W, Raimondo JV, Ginham R, Jeffrey Mcllhinney RA, Akerman CJ. Neuronal chloride regulation via KCC2 is modulated through a GABAB receptor protein complex. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. PMID 28450542 DOI: 10.1523/JNEUROSCI.2164-16.2017 |
0.654 |
|
2016 |
Wefelmeyer W, Puhl CJ, Burrone J. Homeostatic Plasticity of Subcellular Neuronal Structures: From Inputs to Outputs. Trends in Neurosciences. PMID 27637565 DOI: 10.1016/J.Tins.2016.08.004 |
0.697 |
|
2015 |
Wefelmeyer W, Burrone J. Reply to Hoy and Fitzgerald: Considering homeostatic mechanisms in long-term treatments. Proceedings of the National Academy of Sciences of the United States of America. 112: E5659. PMID 26450882 DOI: 10.1073/Pnas.1516941112 |
0.569 |
|
2015 |
Wefelmeyer W, Cattaert D, Burrone J. Activity-dependent mismatch between axo-axonic synapses and the axon initial segment controls neuronal output. Proceedings of the National Academy of Sciences of the United States of America. 112: 9757-62. PMID 26195803 DOI: 10.1073/Pnas.1502902112 |
0.707 |
|
2015 |
Wefelmeyer W, Cattaert D, Burrone J. Activity-dependent mismatch between axo-axonic synapses and the axon initial segment controls neuronal output Proceedings of the National Academy of Sciences of the United States of America. 112: 9757-9762. DOI: 10.1073/pnas.1502902112 |
0.664 |
|
2012 |
Raimondo JV, Irkle A, Wefelmeyer W, Newey SE, Akerman CJ. Genetically encoded proton sensors reveal activity-dependent pH changes in neurons. Frontiers in Molecular Neuroscience. 5: 68. PMID 22666186 DOI: 10.3389/fnmol.2012.00068 |
0.662 |
|
Low-probability matches (unlikely to be authored by this person) |
2007 |
Wefelmeyer W. The influence of GABA on dendritic development in vivo. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 27: 10649-50. PMID 17913898 DOI: 10.1523/JNEUROSCI.3111-07.2007 |
0.171 |
|
2012 |
Müller UU, Schick A, Wefelmeyer W. Estimating the error distribution function in semiparametric additive regression models Journal of Statistical Planning and Inference. 142: 552-566. DOI: 10.1016/J.Jspi.2011.08.013 |
0.071 |
|
2007 |
Schick A, Wefelmeyer W. Prediction in invertible linear processes Statistics and Probability Letters. 77: 1322-1331. DOI: 10.1016/J.Spl.2007.03.018 |
0.068 |
|
1994 |
Greenwood PE, Wefelmeyer W. Optimality Properties of Empirical Estimators for Multivariate Point Processes Journal of Multivariate Analysis. 49: 202-217. DOI: 10.1006/Jmva.1994.1022 |
0.066 |
|
2009 |
Schick A, Wefelmeyer W. Convergence rates of density estimators for sums of powers of observations Metrika. 69: 249-264. DOI: 10.1007/S00184-008-0215-2 |
0.064 |
|
2015 |
Müller UU, Schick A, Wefelmeyer W. Estimators in step regression models Statistics and Probability Letters. 100: 124-129. DOI: 10.1016/J.Spl.2015.02.012 |
0.064 |
|
2006 |
Müller UU, Schick A, Wefelmeyer W. Efficient prediction for linear and nonlinear autoregressive models Annals of Statistics. 34: 2496-2533. DOI: 10.1214/009053606000000812 |
0.064 |
|
2009 |
Müller UU, Schick A, Wefelmeyer W. Estimating the innovation distribution in nonparametric autoregression Probability Theory and Related Fields. 144: 53-77. DOI: 10.1007/S00440-008-0141-2 |
0.063 |
|
2012 |
Schick A, Wefelmeyer W. On efficient estimation of densities for sums of squared observations Statistics and Probability Letters. 82: 1637-1640. DOI: 10.1016/J.Spl.2012.04.021 |
0.063 |
|
2013 |
Müller UU, Schick A, Wefelmeyer W. Non standard behavior of density estimators for functions of independent observations Communications in Statistics - Theory and Methods. 42: 2991-3000. DOI: 10.1080/03610926.2012.762683 |
0.061 |
|
2011 |
Greenwood PE, Schick A, Wefelmeyer W. Estimating the inter-arrival time density of Markov renewal processes under structural assumptions on the transition distribution Statistics and Probability Letters. 81: 277-282. DOI: 10.1016/J.Spl.2010.08.028 |
0.061 |
|
2009 |
Müller UU, Schick A, Wefelmeyer W. Estimating the error distribution function in nonparametric regression with multivariate covariates Statistics and Probability Letters. 79: 957-964. DOI: 10.1016/J.Spl.2008.11.024 |
0.06 |
|
2004 |
Schick A, Wefelmeyer W. Functional convergence and optimality of plug-in estimators for stationary densities of moving average processes Bernoulli. 10: 889-917. DOI: 10.3150/Bj/1099579161 |
0.06 |
|
1998 |
Greenwood PE, McKeague IW, Wefelmeyer W. Information bounds for Gibbs samplers Annals of Statistics. 26: 2128-2156. DOI: 10.1214/Aos/1024691464 |
0.059 |
|
2014 |
Müller UU, Schick A, Wefelmeyer W. Testing for additivity in partially linear regression with possibly missing responses Journal of Multivariate Analysis. 128: 51-61. DOI: 10.1016/J.Jmva.2014.03.003 |
0.056 |
|
2009 |
Müller UU, Schick A, Wefelmeyer W. Estimators for alternating nonlinear autoregression Journal of Multivariate Analysis. 100: 266-277. DOI: 10.1016/J.Jmva.2008.04.011 |
0.055 |
|
1993 |
Greenwood PE, Wefelmeyer W. Asymptotic minimax results for stochastic process families with critical points Stochastic Processes and Their Applications. 44: 107-116. DOI: 10.1016/0304-4149(93)90040-B |
0.054 |
|
2006 |
Schick A, Wefelmeyer W. Pointwise convergence rates and central limit theorems for kernel density estimators in linear processes Statistics and Probability Letters. 76: 1756-1760. DOI: 10.1016/J.Spl.2006.04.021 |
0.054 |
|
1990 |
Greenwood PE, Wefelmeyer W. Efficiency of estimators for partially specified filtered models Stochastic Processes and Their Applications. 36: 353-370. DOI: 10.1016/0304-4149(90)90101-W |
0.054 |
|
2013 |
Schick A, Wefelmeyer W. Uniform convergence of convolution estimators for the response density in nonparametric regression Bernoulli. 19: 2250-2276. DOI: 10.3150/12-Bej451 |
0.053 |
|
2013 |
Müller UU, Schick A, Wefelmeyer W. Variance bounds for estimators in autoregressive models with constraints Statistics. 47: 477-493. DOI: 10.1080/02331888.2011.616932 |
0.053 |
|
2004 |
Schick A, Wefelmeyer W. Estimating invariant laws of linear processes by U-statistics Annals of Statistics. 32: 603-632. DOI: 10.1214/009053604000000111 |
0.052 |
|
2004 |
Penev S, Peng H, Schick A, Wefelmeyer W. Efficient estimators for functionals of Markov chains with parametric marginals Statistics and Probability Letters. 66: 335-345. DOI: 10.1016/J.Spl.2003.10.022 |
0.052 |
|
2009 |
Schick A, Wefelmeyer W. Improved density estimators for invertible linear processes Communications in Statistics - Theory and Methods. 38: 3123-3147. DOI: 10.1080/03610920902947592 |
0.051 |
|
1994 |
Greenwood PE, Wefelmeyer W. Nonparametric estimators for Markov step processes Stochastic Processes and Their Applications. 52: 1-16. DOI: 10.1016/0304-4149(94)90097-3 |
0.049 |
|
2007 |
Schick A, Wefelmeyer W. Uniformly root-N consistent density estimators for weakly dependent invertible linear processes Annals of Statistics. 35: 815-843. DOI: 10.1214/009053606000001352 |
0.049 |
|
2004 |
Schick A, Wefelmeyer W. Root n consistent density estimators for sums of independent random variables Journal of Nonparametric Statistics. 16: 925-935. DOI: 10.1080/10485250410001713990 |
0.048 |
|
1996 |
Greenwood PE, McKeague IW, Wefelmeyer W. Outperforming the Gibbs sampler empirical estimator for nearest-neighbor random fields Annals of Statistics. 24: 1433-1456. DOI: 10.1214/Aos/1032298276 |
0.047 |
|
2007 |
Schick A, Wefelmeyer W. Root-n consistent density estimators of convolutions in weighted L1-norms Journal of Statistical Planning and Inference. 137: 1765-1774. DOI: 10.1016/J.Jspi.2006.06.041 |
0.047 |
|
1994 |
Wefelmeyer W. An efficient estimator for the expectation of a bounded function under the residual distribution of an autoregressive process Annals of the Institute of Statistical Mathematics. 46: 309-315. DOI: 10.1007/BF01720587 |
0.046 |
|
2004 |
Schick A, Wefelmeyer W. Root n consistent and optimal density estimators for moving average processes Scandinavian Journal of Statistics. 31: 63-78. DOI: 10.1111/J.1467-9469.2004.00373.X |
0.046 |
|
2008 |
Schick A, Wefelmeyer W. Root-n consistency in weighted L 1-spaces for density estimators of invertible linear processes Statistical Inference For Stochastic Processes. 11: 281-310. DOI: 10.1007/S11203-008-9024-5 |
0.046 |
|
2011 |
Müllera UU, Schick A, Wefelmeyer W. Optimal plug-in estimators for multivariate distributions with conditionally independent components Journal of Nonparametric Statistics. 23: 1031-1050. DOI: 10.1080/10485252.2011.569713 |
0.044 |
|
1999 |
Greenwood PE, Wefelmeyer W. Reversible Markov chains and optimality of symmetrized empirical estimators Bernoulli. 5: 109-123. DOI: 10.2307/3318615 |
0.043 |
|
2004 |
Greenwood PE, Müller UU, Wefelmeyer W. Efficient Estimation for Semiparametric Semi-Markov Processes Communications in Statistics - Theory and Methods. 33: 419-435. DOI: 10.1081/Sta-120028676 |
0.043 |
|
1999 |
Greenwood PE, Ward LM, Wefelmeyer W. Statistical analysis of stochastic resonance in a simple setting. Physical Review. E, Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics. 60: 4687-95. PMID 11970333 DOI: 10.1103/Physreve.60.4687 |
0.042 |
|
2002 |
Schick A, Wefelmeyer W. Estimating the innovation distribution in nonlinear autoregressive models Annals of the Institute of Statistical Mathematics. 54: 245-260. DOI: 10.1023/A:1022413700321 |
0.042 |
|
2009 |
Schick A, Wefelmeyer W. Plug-in estimators for higher-order transition densities in autoregression Esaim - Probability and Statistics. 13: 135-151. DOI: 10.1051/Ps:2008001 |
0.042 |
|
2008 |
Schick A, Wefelmeyer W. Prediction in moving average processes Journal of Statistical Planning and Inference. 138: 694-707. DOI: 10.1016/J.Jspi.2007.01.007 |
0.041 |
|
2004 |
Müller UU, Schick A, Wefelmeyer W. Estimating functionals of the error distribution in parametric and nonparametric regression Journal of Nonparametric Statistics. 16: 525-548. DOI: 10.1080/10485250310001624846 |
0.041 |
|
2011 |
Schick A, Wang Y, Wefelmeyer W. Tests for normality based on density estimators of convolutions Statistics and Probability Letters. 81: 337-343. DOI: 10.1016/J.Spl.2010.10.022 |
0.039 |
|
2003 |
Müller UU, Schick A, Wefelmeyer W. Estimating the error variance in nonparametric regression by a covariate-matched U-statistic Statistics. 37: 179-188. DOI: 10.1080/0233188031000078051 |
0.039 |
|
1997 |
Wefelmeyer W. Adaptive estimators for parameters of the autoregression function of a Markov chain Journal of Statistical Planning and Inference. 58: 389-398. |
0.039 |
|
2004 |
Müller UU, Schick A, Wefelmeyer W. Estimating linear functionals of the error distribution in nonparametric regression Journal of Statistical Planning and Inference. 119: 75-93. DOI: 10.1016/S0378-3758(02)00412-3 |
0.038 |
|
1978 |
Pfanzagl J, Wefelmeyer W. A third-order optimum property of the maximum likelihood estimator Journal of Multivariate Analysis. 8: 1-29. DOI: 10.1016/0047-259X(78)90016-7 |
0.036 |
|
2008 |
Mller UU, Schick A, Wefelmeyer W. Optimality of estimators for misspecified semi-Markov models Stochastics. 80: 181-196. DOI: 10.1080/17442500701841008 |
0.036 |
|
2014 |
Müller U, Wefelmeyer W. Estimating a density under pointwise constraints on the derivatives Mathematical Methods of Statistics. 23: 201-209. DOI: 10.3103/S106653071403003X |
0.036 |
|
1991 |
Wefelmeyer W. Efficient estimation in multiplicative counting process models Statistics and Risk Modeling. 9: 301-318. DOI: 10.1524/strm.1991.9.4.301 |
0.034 |
|
1996 |
Dahlhaus R, Wefelmeyer W. Asymptotically optimal estimation in misspecified time series models Annals of Statistics. 24: 952-974. |
0.033 |
|
2005 |
Müller UU, Schick A, Wefelmeyer W. Weighted residual-based density estimators for nonlinear autoregressive models Statistica Sinica. 15: 177-195. |
0.033 |
|
1991 |
Wefelmeyer W. A generalization of asymptotically linear estimators Statistics and Probability Letters. 11: 195-199. DOI: 10.1016/0167-7152(91)90143-F |
0.032 |
|
2001 |
Müller UU, Schick A, Wefelmeyer W. Improved estimators for constrained Markov chain models Statistics and Probability Letters. 54: 427-435. DOI: 10.1016/S0167-7152(01)00121-3 |
0.031 |
|
2003 |
Greenwood PE, Wefelmeyer W. Ch. 9. Empirical estimators based on MCMC data Handbook of Statistics. 21: 337-370. DOI: 10.1016/S0169-7161(03)21011-7 |
0.03 |
|
1986 |
Droste W, Wefelmeyer W. Asymptotic concentration of estimators and dispersivity Statistics and Risk Modeling. 4: 75-84. DOI: 10.1524/strm.1986.4.1.75 |
0.029 |
|
1999 |
Greenwood PE, McKeague IW, Wefelmeyer W. Von Mises type statistics for single site updated local interaction random fields Statistica Sinica. 9: 699-712. |
0.028 |
|
2010 |
Müller UU, Wefelmeyer W. Estimation in nonparametric regression with non-regular errors Communications in Statistics - Theory and Methods. 39: 1619-1629. DOI: 10.1080/03610920802339833 |
0.025 |
|
1985 |
Wefelmeyer W. A counterexample concerning monotone unimodality Statistics and Probability Letters. 3: 87-88. DOI: 10.1016/0167-7152(85)90030-6 |
0.023 |
|
1997 |
Greenwood PE, Wefelmeyer W. Maximum likelihood estimator Kullback-Leibler information in misspecified Markov chain models Theory of Probability and Its Applications. 42: 103-111. DOI: 10.4213/tvp1718 |
0.018 |
|
1996 |
Wefelmeyer W. Quasi-likelihood models and optimal inference Annals of Statistics. 24: 405-422. |
0.017 |
|
2001 |
Kessler M, Schick A, Wefelmeyer W. The information in the marginal law of a Markov chain Bernoulli. 7: 243-266. |
0.01 |
|
2000 |
McKeague IW, Wefelmeyer W. Markov chain Monte Carlo and Rao-Blackwellization Journal of Statistical Planning and Inference. 85: 171-182. |
0.01 |
|
1984 |
Droste W, Wefelmeyer W. On hajek's convolution theorem Statistics and Risk Modeling. 2: 131-144. DOI: 10.1524/strm.1984.2.12.131 |
0.01 |
|
1978 |
Pfanzagl J, Wefelmeyer W. An asymptotically complete class of tests Zeitschrift FüR Wahrscheinlichkeitstheorie Und Verwandte Gebiete. 45: 49-72. DOI: 10.1007/BF00635963 |
0.01 |
|
Hide low-probability matches. |