Results 81 to 90 of about 117,698,599 (259)

A PRIMAL-DUAL ESTIMATOR OF PRODUCTION AND COST FUNCTIONS WITHIN AN ERRORS-IN-VARIABLES CONTEXT [PDF]

In 1944, Marschak and Andrews published a seminal paper on how to obtain consistent estimates of a production technology. The original formulation of the econometric model regarded the joint estimation of the production function together with the first ...
Caputo, Michael R., Paris, Quirino
core  

Asymptotics for weakly dependent errors-in-variables [PDF]

, 2013
summary:Linear relations, containing measurement errors in input and output data, are taken into account in this paper. Parameters of these so-called errors-in-variables (EIV) models can be estimated by minimizing the total least squares (TLS) of the ...
Pešta, Michal
core   +1 more source

Circular RNA expression landscapes in myelodysplastic neoplasms: Associations with mutational signatures and disease progression

Molecular Oncology, EarlyView.
In this explorative study, the abundance of circular RNA molecules in bone marrow stem cells was found to be elevated in patients with high‐risk myelodysplastic neoplasms, and to be associated with an increased risk of progression to acute myeloid leukemia.
Eileen Wedge, Morten Tulstrup, Gabriele Todisco, Pedro Moura, Christophe Côme, Jakob Werner Hansen, Jakob Schmidt Jespersen, Balthasar Schlotmann, Maria Creignou, Mette Dahl, Claudia Schöllkopf, Klas Raaschou‐Jensen, Krister Wennerberg, Bo Porse, Joachim Weischenfeldt, Eva Hellström‐Lindberg, Lasse Sommer Kristensen, Kirsten Grønbæk   +17 more
wiley   +1 more source

3D reconstruction based on pseudo-linearization and errors-in-variables model

, 2006
This paper proposes a general approach of 3D reconstruction, a major problem arising in computer vision and virtual reality, based on a combination of Pseudo-Linearization and Errors-in-Variables model. The proposed approach concerns a bunch of corrupted
Shi ZL(史泽林), Hou TB(侯庭波), Wang JW(汪俊文), Zhu F(朱枫)   +3 more
core  

Improved initial approximation for errors-in-variables system identification

Errors-in-variables system identification can be posed and solved as a Hankel structured low-rank approximation problem. In this paper different estimates based on suboptimal low-rank approximations are considered.
Usevich, Konstantin
core   +1 more source

IMPDH inhibition enhances cytarabine efficacy in SAMHD1‐expressing leukaemia cells via guanine nucleotide depletion

Molecular Oncology, EarlyView.
Cytarabine is a key therapy for acute myeloid leukaemia (AML), but its efficacy is limited by the dNTPase SAMHD1, which hydrolyses its active metabolite. Screening nucleotide biosynthesis inhibitors revealed that IMPDH inhibitors selectively sensitise SAMHD1‐proficient AML cells to cytarabine.
Miriam Yagüe‐Capilla, Christopher Dirks, Caroline Eiden, Sonja K. Fesenmayer, Femke M. Hormann, Yolande Klootsema, Ingrid Lilienthal, Si Min Zhang, Nikolas Herold, Sean G. Rudd   +9 more
wiley   +1 more source

Structural Measurement Errors in Nonseparable Models [PDF]

This paper considers measurement error from a new perspective. In surveys, response errors are often caused by the fact that respondents recall past events and quantities imperfectly.
Winter, Joachim, Hoderlein, Stefan
core  

Modified inverse propensity weighting method to alleviate estimation errors in the model with multiple endogenous variables

MethodsX
Multiple mental health disorders affect on decisions of people. The disorders are also outcomes of other factors. Health studies commonly follow an inverse propensity weight (IPW) method to address estimation errors associated with the presence of one ...
Bhubaneswor Dhakal, Geraldine. F.H. McLeod, Andrea Insch, Joseph.M. Boden   +3 more
doaj   +1 more source

Goodness-of-fit test in a multivariate errors-in-variables model $\mathit{A}\mathit{X}=\mathit{B}$

Modern Stochastics: Theory and Applications, 2016
We consider a multivariable functional errors-in-variables model $AX\approx B$, where the data matrices A and B are observed with errors, and a matrix parameter X is to be estimated.
Alexander Kukush, Yaroslav Tsaregorodtsev   +1 more
doaj   +1 more source

KDM7A and KDM1A inhibition suppresses tumour promoting pathways in prostate cancer

Molecular Oncology, EarlyView.
Treatment resistance is a major challenge for patients with advanced prostate cancer. This study examined an alternative approach to target the major prostate cancer‐promoting pathway by targeting epigenetic factors, whose levels are higher in tumours.
Jennie N Jeyapalan, Veronika M Metzler, Simone de Brot, Corinne L Woodcock, Anna E Harris, Jennifer Lothion‐Roy, Emeli M Nilsson, Atara Ntekim, Michael S Toss, Jenny L Persson, Francesca Khani, Brian D Robinson, Lorraine J Gudas, Emad Rakha, David M Heery, Catrin S Rutland, Nigel P Mongan   +16 more
wiley   +1 more source