Results 171 to 180 of about 2,583,540 (350)
A note on the determinants of non‐fungible tokens returns
International Journal of Finance &Economics, EarlyView.Abstract We aim to identify the determinants of non‐fungible tokens (NFTs) returns. The 10 most popular NFTs based on their price, trading volume, and market capitalisation are examined. Twenty‐three potential drivers of the returns of each NFT are considered.
Theodore Panagiotidis +1 more
wiley +1 more source
Informational Differences, Adaptive Learning, and Inflation Forecast Bias
International Studies of Economics, EarlyView.ABSTRACT This work highlights a previously overlooked factor that contributes to bias in private inflation forecasts—ignorance of confidential monetary rules. Additionally, it examines how this ignorance indirectly affects policy rate settings. The model proposed reconciles biases in two key forecast sources: the inflation expectations from the Survey ...
Qiang Chen, Zechen Yin
wiley +1 more source
A Markov Chain Model for Determining the Optimal Time to Move Pregnant Cows to Individual Calving Pens. [PDF]
Sensors (Basel), 2023 Phyo CN, Tin P, Zin TT.
europepmc +1 more source
Journal of Applied Econometrics, EarlyView.ABSTRACT We propose new methods to identify the impact of country‐specific characteristics, policies, and trade costs on bilateral trade flows within the structural gravity framework. We complement theory with a simple two‐stage estimating procedure and offer proof of concept by quantifying the impact of country‐specific research and development (R&D ...
Rebecca Freeman +3 more
wiley +1 more source
Quantifying the 'end of history' through a Bayesian Markov-chain approach. [PDF]
R Soc Open Sci, 2022 Klimm F.
europepmc +1 more source
Bernstein-type Inequalities for Markov Chains and Markov Processes: A Simple and Robust Proof [PDF]
arXivWe establish a new Bernstein-type deviation inequality for general discrete-time Markov chains via an elementary approach. More robust than existing works in the literature, our result only requires the Markov chain to satisfy an iterated Poincar\'e inequality. Moreover, our method can be readily generalized to continuous-time Markov processes.
arxiv
Probabilistic Functions of Finite State Markov Chains [PDF]
, 1969 Ted Petrie
openalex +1 more source
Multi‐cycle high‐throughput growth media optimization using batch Bayesian optimization
Journal of Chemical Technology &Biotechnology, EarlyView.Abstract BACKGROUND The optimization of growth media is a crucial step in enhancing microbial growth and product formation in industrial bioprocesses. While Design of Experiments (DoE) is widely used for this purpose, it has inherent limitations, particularly in capturing complex interactions between media components and managing the high number of ...
Frédéric M. Lapierre +5 more
wiley +1 more source
A continuous-time Markov chain model of fibrosis progression in NAFLD and NASH. [PDF]
Front Med (Lausanne), 2023 Meyer LF, Musante CJ, Allen R.
europepmc +1 more source