Results 31 to 40 of about 3,817,143 (297)

lpdensity: Local Polynomial Density Estimation and Inference

Journal of Statistical Software, 2022
Density estimation and inference methods are widely used in empirical work. When the underlying distribution has compact support, conventional kernel-based density estimators are no longer consistent near or at the boundary because of their well-known ...
Matias D. Cattaneo, Michael Jansson, Xinwei Ma   +2 more
doaj   +1 more source

Ecient Parameter Estimation and Control Based on a Modified LOS Guidance System of an Underwater Vehicle

Revista Iberoamericana de Automática e Informática Industrial RIAI, 2017
In this work, a methodology is proposed for the improvement of the parameter estimation effciency of a non-linear manoeuvring model of a torpedo shaped unmanned underwater vehicle.
Elías Revestido Herrero, Francisco J. Velasco, Luis M. Vega, Francisco J. Lastra   +3 more
doaj   +1 more source

Investigating transcription factor dynamics in health and disease using FRAP

FEBS Letters, EarlyView.
FRAP analysis of GFP‐tagged transcription factors reveals how molecular mobility and target engagement change in response to drug treatment. By combining live‐cell imaging, quantitative model fitting, and statistical analysis, this approach uncovers transcription factor dynamics linked to disease mechanisms, providing a powerful framework for ...
Kannan Govindaraj, Carolina Vazquez Garzon, Jose Joaquin Velasco, Janine N. Post   +3 more
wiley   +1 more source

Semiparametric models and P-splines [PDF]

, 2001
P-splines were introduced by Eilers and Marx (1996). We consider semiparametric models where the smooth part of the model can be described by P-splines. A mixed model representation is also considered.
M., Durbán,, I., Currie,
core   +1 more source

A hybrid simple exponential smoothing-barnacles mating optimization approach for parameter estimation: Enhancing COVID-19 forecasting in Malaysia

MethodsX
Single or simple exponential smoothing (SES) is a time series forecasting model popular among researchers due to its simplicity and ease of use. SES only requires one smoothing parameter, alpha, to control how quickly the influence of past observations ...
Azlan Abdul Aziz, Zuriani Mustaffa, Suzilah Ismail, Nor Azriani Mohamad Nor, Nurin Qistina Mohamad Fozi   +4 more
doaj   +1 more source

Computationally Efficient Bootstrap Expressions for Bandwidth Selection in Nonparametric Curve Estimation

Proceedings, 2018
Bootstrap methods are used for bandwidth selection in: (1) nonparametric kernel density estimation with dependent data (smoothed stationary bootstrap and smoothed moving blocks bootstrap), and (2) nonparametric kernel hazard rate estimation (smoothed ...
Inés Barbeito, Ricardo Cao
doaj   +1 more source

Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry

FEBS Letters, EarlyView.
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri, Ayaka Nagasato‐Ichikawa, Keita Iida, Shuhei Kimura, Akira Imamoto, Mariko Okada   +5 more
wiley   +1 more source

HISAPS: High-order smoothing spline with automatic parameter selection and shape constraints

SoftwareX
Obtaining a good functional fit with noisy data is difficult. This is especially true when the derivative of the fitted function is needed, which is often the case in engineering applications. One solution is to use smoothing splines.
Peter H. Broberg, Esben Lindgaard, Asbjørn M. Olesen, Simon M. Jensen, Niklas K.K. Stagsted, Rasmus L. Bjerg, Riccardo Grosselle, Iñigo Urcelay Oca, Brian L.V. Bak   +8 more
doaj   +1 more source

Spatial and single‐nuclei transcriptomics reveals idiosyncratic and generic patterns in papillary and anaplastic thyroid cancers

Molecular Oncology, EarlyView.
Matched spatial transcriptomics and single‐nuclei RNA‐seq were generated for anaplastic and BRAFV600E papillary thyroid cancers revealing generic and tumor‐specific states occurring in cancer cells and in the tumor microenvironment. In this context, cancer dedifferentiation mirrored organoid maturation through ordered thyroid marker gain/loss ...
Adrien Tourneur, Joel Rodrigues Vitória, Manuel Saiselet, Ligia Craciun, Denis Larsimont, Anne Lefort, Frédérick Libert, Carine Maenhaut, Sabine Costagliola, Maxime Tarabichi, Mirian Romitti, Vincent Detours   +11 more
wiley   +1 more source

Smoothing Parameter Selection for a Class of Semiparametric Linear Models

Journal of the Royal Statistical Society Series B: Statistical Methodology, 2009
SummarySpline-based approaches to non-parametric and semiparametric regression, as well as to regression of scalar outcomes on functional predictors, entail choosing a parameter controlling the extent to which roughness of the fitted function is penalized.
Reiss, Philip T., Ogden, R. Todd
openaire   +1 more source