Results 91 to 100 of about 1,032,480 (246)

Orbitrap noise structure and method for noise unbiased multivariate analysis

Nature Communications
Orbitrap mass spectrometry is widely used in the life-sciences. However, like all mass spectrometers, non-uniform (heteroscedastic) noise introduces bias in multivariate analysis complicating data interpretation.
Michael R. Keenan, Gustavo F. Trindade, Alexander Pirkl, Clare L. Newell, Yuhong Jin, Konstantin Aizikov, Andreas Dannhorn, Junting Zhang, Lidija Matjačić, Henrik Arlinghaus, Anya Eyres, Rasmus Havelund, Richard J. A. Goodwin, Zoltan Takats, Josephine Bunch, Alex P. Gould, Alexander Makarov, Ian S. Gilmore   +17 more
doaj   +1 more source

Filtering and statistical properties of unimodal maps perturbed by heteroscedastic noise

Stochastics and Dynamics
We propose a theory of unimodal maps perturbed by a heteroscedastic Markov chain noise and experiencing another heteroscedastic noise due to uncertain observation. We address and treat the filtering problem showing that by collecting more and more observations, one would predict the same distribution for the state of the underlying Markov chain no ...
Fabrizio Lillo, Stefano Marmi, Matteo Tanzi, Sandro Vaienti   +3 more
openaire   +3 more sources

Decoding the Relationship Between Economic Growth and Climate Change in Selected G7 Countries: A Multi‐Factor Analysis for Sustainable Development

Sustainable Development, EarlyView.
ABSTRACT The current study examines the impact of economic growth, urbanization, trade openness, and energy consumption on climate change among four G7 countries: the United States of America (USA), the United Kingdom (UK), Japan, and Germany. For this, the Auto Regressive Distributed Lag (ARDL) model was used, and to assess the model's fitness ...
Arvind Goswami, Harmanpreet Singh Kapoor, Rajesh Kumar Jangir, Vijay Kumar Chattu   +3 more
wiley   +1 more source

Rainchecks and Risk: Climate Shocks, Policy Transitions and SME Credit Dynamics

Sustainable Development, EarlyView.
ABSTRACT Small and medium enterprises rely heavily on bank credit. They also have the fewest tools to deal with climate risk. Using a panel of 45 countries from 2007 to 2022, we study how climate risk and the Paris Agreement shape SME bank lending. Climate‐related disasters are associated with lower SME credit, with post‐event estimates indicating a ...
Swapnanil SenGupta, Anshita Sachan
wiley   +1 more source

Prediction intervals in conditionally heteroscedastic time series with stochastic components. [PDF]

Differencing is a very popular stationary transformation for series with stochastic trends. Moreover, when the differenced series is heteroscedastic, authors commonly model it using an ARMA-GARCH model. The corresponding ARIMA-GARCH model is then used to
Ruiz, Esther, Espasa, Antoni, Pellegrini, Santiago   +2 more
core  

Firewall insulation package simulation and noise auralisation for EV [PDF]

, 2019
EV vehicle are now having a great influence on the market, with the number of vehicles sold increasing every year. For the engineer, the introduction of full electric vehicles means new challenges, a change in paradigms and new goals to achieve.
Qingmei Chang, Pasquale Napolitano, Massimo Viscardi   +2 more
core  

Teaching Thoughtful Statistical Inference: Stories for the World Beyond p < 0.05

Teaching Statistics, EarlyView.
ABSTRACT Statistical hypothesis tests and p values are poorly understood by many students of statistics. Poor application and misinterpretation of statistical inference procedures are common in published research. Over‐reliance on the “p < 0.05” threshold to claim “statistical significance” often masks weaknesses in the evaluation of statistical ...
Peter Martin
wiley   +1 more source

A Skewness-Based Criterion for Addressing Heteroscedastic Noise in Causal Discovery

CoRR
Real-world data often violates the equal-variance assumption (homoscedasticity), making it essential to account for heteroscedastic noise in causal discovery. In this work, we explore heteroscedastic symmetric noise models (HSNMs), where the effect $Y$ is modeled as $Y = f(X) + σ(X)N$, with $X$ as the cause and $N$ as independent noise following a ...
Yingyu Lin, Yuxing Huang, Wenqin Liu, Haoran Deng, Ignavier Ng, Kun Zhang 0001, Mingming Gong, Yi-An Ma, Biwei Huang   +8 more
openaire   +4 more sources

Cortisol concentrations in hair are biomarkers of health status and seasonal change, but not urbanisation, in wolves

Wildlife Biology, EarlyView.
Wolves have reclaimed much of their former range in Europe, including areas with a high human footprint, yet the physiological impacts of human‐associated stressors remain poorly understood. We first examined methodological factors affecting hair cortisol concentrations (HCC) in wolves by using a ‘shave/re‐shave' design to assess hair growth rate and ...
Gwendolyn Wirobski, Carmela Musto, Rudy Brogi, Martina Lazzaroni, Rupert Palme, Yasmina Wukovich, Fanni Kertész, Ágnes Szabó, Chiara Garbarino, Marco Gobbi, Lorella Barca, Mauro Delogu, The Wolf Network, Friederike Range, Marco Apollonio, Sarah Marshall‐Pescini   +15 more
wiley   +1 more source

Quantitative MRI post-processing algorithm and visualization research based on moisture status detection of winter jujube

Heliyon
Quantitative Magnetic Resonance Imaging (qMRI) offers precise measurements of the relaxation characteristics of microstructures, representing a cutting-edge method in non-destructive fruit analysis.
Yanan Li, Yijin Wang, Guifa Teng, Jingfa Yao, Peng Luan   +4 more
doaj   +1 more source