Results 111 to 120 of about 720,962 (318)

Inference in two-piece location-scale models with Jeffreys priors [PDF]

, 2011
This paper addresses the use of Jeffreys priors in the context of univariate threeparameter location-scale models, where skewness is introduced by differing scale parameters either side of the location.
Rubio, Francisco J., Steel, Mark F. J.
core  

Inferences and illocutions

Argument & Computation, 2015
In several papers Budzynska and Reed have argued that inferences should be ‘anchored’ to relations between utterances rather than to utterances themselves; then, by appeal to what they call ‘dialogue glue', these relations are somehow reified as ‘implicit’ speech-acts. In this paper I will argue that this is a mistake caused by confusion over different
openaire   +2 more sources

Systemic dysregulation of apolipoproteins in amyotrophic lateral sclerosis serum

FEBS Open Bio, EarlyView.
Amyotrophic lateral sclerosis (ALS) is a fatal disease that damages motor neurons. This study found that people with ALS show significant changes in blood fats and the proteins that carry them. Several apolipoproteins were higher, lipid balances were altered, and normal protein–lipid relationships were disrupted.
Finula I. Isik, Russell Pickford, Hannah C. Timmins, Olivier Piguet, Glenda M. Halliday, Matthew C. Kiernan, Woojin Scott Kim   +6 more
wiley   +1 more source

Asymptotic and bootstrap inference for inequality and poverty measures [PDF]

A random sample drawn from a population would appear to offer an ideal opportunity to use the bootstrap in order to perform accurate inference, since the observations of the sample are IID.
Russell Davidson, Emmanuel Flachaire
core  

Intersection bounds: estimation and inference [PDF]

, 2009
We develop a practical and novel method for inference on intersection bounds, namely bounds defined by either the infimum or supremum of a parametric or nonparametric function, or equivalently, the value of a linear programming problem with a potentially
Rosen, A.M., Rosen, Adam M., Adam Rosen, Victor Chernozhukov, Chernozhukov, Victor, Chernozhukov, V., Lee, S., Lee, Sokbae, Sokbae (Simon) Lee   +8 more
core   +1 more source

Blood‐based proteomic profiling reveals context‐dependent changes in BCL2‐associated signaling during taxane therapy in breast cancer patients

FEBS Open Bio, EarlyView.
Chemotherapy side effects significantly impact cancer survivors' quality of life. Using protein levels in blood samples from breast cancer patients before and after 12 weeks of taxane treatment, we detected treatment‐dependent changes in calcium signaling and aging pathways associated with cancer recurrence.
Saira Munshani, Eiman Y. Ibrahim, Rozalyn L. Rodwin, Leah M. Ferrucci, Kim Blenman, Maryam Lustberg, Barbara E. Ehrlich   +6 more
wiley   +1 more source

State-Space Inference and Learning with Gaussian Processes [PDF]

, 2010
18.10.13 KB. Ok to add author version to spiral, authors hold copyright.State-space inference and learning with Gaussian processes (GPs) is an unsolved problem.
Rasmussen, Carl E, Deisenroth, Marc P, Deisenroth, M., Turner, Ryan, Rasmussen, C., Turner, R.   +5 more
core  

Permutation inference for the general linear model [PDF]

, 2014
Permutation methods can provide exact control of false positives and allow the use of non-standard statistics, making only weak assumptions about the data.
Winkler, Anderson, Ridgway, Gerard, Nichols, Thomas E, Smith, Stephen, Webster, Matthew A, Nichols, Thomas E., Smith, Stephen M, Smith, Stephen M., Ridgway, Gerard R, Winkler, Anderson M., Webster, Matthew A., Ridgway, Gerard R., Webster, MA, Nichols, TE   +13 more
core   +1 more source

Robust Bayesian inference in Iq-Spherical models [PDF]

, 1992
The class of multivariate lq-spherical distributions is introduced and defined through their isodensity surfaces. We prove that, under a Jeffreys' type improper prior on the scale parameter, posterior inference on the location parameters is the same for
Osiewalski, Jacek, Steel, Mark F.J.
core  

Permutation-Based Inference for High-Dimensional Linear Models [PDF]

openThe rapid growth of high-dimensional data has made reliable inference, not merely prediction, a pressing challenge in linear regression when the number of covariates far exceeds the sample size.
DELLA PENNA, PAOLO
core