Zobrazeno 1 - 10
of 18 705
pro vyhledávání: '"P. A. Sosa"'
In this paper, we compare semiparametric and parametric model adjustments for cancer mortality in breast and cervical cancer and prostate and lung cancer in men, according to age and period of death. Semiparametric models were adjusted for the number
Externí odkaz:
http://arxiv.org/abs/2408.15387
In this paper, we fully develop and apply a novel extension of Bayesian cointegrated panels modeling in digital marketing, particularly in modeling of a system where key ROI metrics such as clicks or impressions of a given digital campaign considered
Externí odkaz:
http://arxiv.org/abs/2408.14012
In this article, we make an innovative adaptation of a Bayesian latent space model based on projections in a novel way to analyze influence networks. By appropriately reparameterizing the model, we establish a formal metric for quantifying each indiv
Externí odkaz:
http://arxiv.org/abs/2408.13606
In this paper, we investigate the degree of $h$-polynomials of edge ideals of finite simple graphs. In particular, we provide combinatorial formulas for the degree of the $h$-polynomial for various fundamental classes of graphs such as paths, cycles,
Externí odkaz:
http://arxiv.org/abs/2408.12544
Autor:
Agazie, Gabriella, Anumarlapudi, Akash, Archibald, Anne M., Arzoumanian, Zaven, Baier, Jeremy George, Baker, Paul T., Bécsy, Bence, Blecha, Laura, Brazier, Adam, Brook, Paul R., Burke-Spolaor, Sarah, Casey-Clyde, J. Andrew, Charisi, Maria, Chatterjee, Shami, Cohen, Tyler, Cordes, James M., Cornish, Neil J., Crawford, Fronefield, Cromartie, H. Thankful, Crowter, Kathryn, DeCesar, Megan E., Demorest, Paul B., Deng, Heling, Dey, Lankeswar, Dolch, Timothy, Esmyol, David, Ferrara, Elizabeth C., Fiore, William, Fonseca, Emmanuel, Freedman, Gabriel E., Gardiner, Emiko C., Garver-Daniels, Nate, Gentile, Peter A., Gersbach, Kyle A., Glaser, Joseph, Good, Deborah C., Gültekin, Kayhan, Hazboun, Jeffrey S., Jennings, Ross J., Johnson, Aaron D., Jones, Megan L., Kaplan, David L., Kelley, Luke Zoltan, Kerr, Matthew, Key, Joey S., Laal, Nima, Lam, Michael T., Lamb, William G., Larsen, Bjorn, Lazio, T. Joseph W., Lewandowska, Natalia, Santos, Rafael R. Lino dos, Liu, Tingting, Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., Ma, Chung-Pei, Madison, Dustin R., McEwen, Alexander, McKee, James W., McLaughlin, Maura A., McMann, Natasha, Meyers, Bradley W., Meyers, Patrick M., Mingarelli, Chiara M. F., Mitridate, Andrea, Ng, Cherry, Nice, David J., Ocker, Stella Koch, Olum, Ken D., Pennucci, Timothy T., Perera, Benetge B. P., Pol, Nihan S., Radovan, Henri A., Ransom, Scott M., Ray, Paul S., Romano, Joseph D., Runnoe, Jessie C., Saffer, Alexander, Sardesai, Shashwat C., Schmiedekamp, Ann, Schmiedekamp, Carl, Schmitz, Kai, Schröder, Tobias, Shapiro-Albert, Brent J., Siemens, Xavier, Simon, Joseph, Siwek, Magdalena S., Fiscella, Sophia V. Sosa, Stairs, Ingrid H., Stinebring, Daniel R., Stovall, Kevin, Susobhanan, Abhimanyu, Swiggum, Joseph K., Taylor, Stephen R., Turner, Jacob E., Unal, Caner, Vallisneri, Michele, van Haasteren, Rutger, Vigeland, Sarah J., von Eckardstein, Richard, Wahl, Haley M., Witt, Caitlin A., Wright, David, Young, Olivia
The NANOGrav 15-year data provides compelling evidence for a stochastic gravitational-wave (GW) background at nanohertz frequencies. The simplest model-independent approach to characterizing the frequency spectrum of this signal consists in a simple
Externí odkaz:
http://arxiv.org/abs/2408.10166
Autor:
ESSnuSB, Aguilar, J., Anastasopoulos, M., Baussan, E., Bhattacharyya, A. K., Bignami, A., Blennow, M., Bogomilov, M., Bolling, B., Bouquerel, E., Bramati, F., Branca, A., Brunetti, G., Bustinduy, I., Carlile, C. J., Cederkall, J., Choi, T. W., Choubey, S., Christiansen, P., Collins, M., Morales, E. Cristaldo, Cupiał, P., Danared, H., de André, J. P. A. M., Dracos, M., Efthymiopoulos, I., Ekelöf, T., Eshraqi, M., Fanourakis, G., Farricker, A., Fasoula, E., Fukuda, T., Gazis, N., Geralis, Th., Ghosh, M., Giarnetti, A., Gokbulut, G., Hagner, C., Halić, L., Hooft, M., Iversen, K. E., Jachowicz, N., Jenssen, M., Johansson, R., Kasimi, E., Topaksu, A. Kayis, Kildetof, B., Kordas, K., Leisos, A., Lindroos, M., Longhin, A., Maiano, C., Marangoni, S., Marrelli, C., Meloni, D., Mezzetto, M., Milas, N., Muñoz, J., Niewczas, K., Oglakci, M., Ohlsson, T., Olvegård, M., Pari, M., Patrzalek, D., Petkov, G., Petridou, Ch., Poussot, P., Psallidas, A., Pupilli, F., Saiang, D., Sampsonidis, D., Schwab, C., Sordo, F., Sosa, A., Stavropoulos, G., Tarkeshian, R., Terranova, F., Tolba, T., Trachanas, E., Tsenov, R., Tsirigotis, A., Tzamarias, S. E., Vankova-Kirilova, G., Vassilopoulos, N., Vihonen, S., Wurtz, J., Zeter, V., Zormpa, O.
This study provides an analysis of atmospheric neutrino oscillations at the ESSnuSB far detector facility. The prospects of the two cylindrical Water Cherenkov detectors with a total fiducial mass of 540 kt are investigated over 10 years of data taki
Externí odkaz:
http://arxiv.org/abs/2407.21663
Autor:
Agazie, Gabriella, Anumarlapudi, Akash, Archibald, Anne M., Arzoumanian, Zaven, Baier, Jeremy George, Baker, Paul T., Bécsy, Bence, Blecha, Laura, Brazier, Adam, Brook, Paul R., Burke-Spolaor, Sarah, Casey-Clyde, J. Andrew, Charisi, Maria, Chatterjee, Shami, Chatziioannou, Katerina, Cohen, Tyler, Cordes, James M., Cornish, Neil J., Crawford, Fronefield, Cromartie, H. Thankful, Crowter, Kathryn, DeCesar, Megan E., Demorest, Paul B., Deng, Heling, Dey, Lankeswar, Dolch, Timothy, Ferrara, Elizabeth C., Fiore, William, Fonseca, Emmanuel, Freedman, Gabriel E., Gardiner, Emiko C., Garver-Daniels, Nate, Gentile, Peter A., Gersbach, Kyle A., Glaser, Joseph, Good, Deborah C., Gültekin, Kayhan, Hazboun, Jeffrey S., Jennings, Ross J., Johnson, Aaron D., Jones, Megan L., Kaiser, Andrew R., Kaplan, David L., Kelley, Luke Zoltan, Kerr, Matthew, Key, Joey S., Laal, Nima, Lam, Michael T., Lamb, William G., Larsen, Bjorn, Lazio, T. Joseph W., Lewandowska, Natalia, Liu, Tingting, Lorimer, Duncan R., Luo, Jing, Lynch, Ryan S., Ma, Chung-Pei, Madison, Dustin R., McEwen, Alexander, McKee, James W., McLaughlin, Maura A., McMann, Natasha, Meyers, Bradley W., Meyers, Patrick M., Mingarelli, Chiara M. F., Mitridate, Andrea, Ng, Cherry, Nice, David J., Ocker, Stella Koch, Olum, Ken D., Pennucci, Timothy T., Perera, Benetge B. P., Pol, Nihan S., Radovan, Henri A., Ransom, Scott M., Ray, Paul S., Romano, Joseph D., Runnoe, Jessie C., Saffer, Alexander, Sardesai, Shashwat C., Schmiedekamp, Ann, Schmiedekamp, Carl, Schmitz, Kai, Shapiro-Albert, Brent J., Siemens, Xavier, Simon, Joseph, Siwek, Magdalena S., Fiscella, Sophia V. Sosa, Stairs, Ingrid H., Stinebring, Daniel R., Stovall, Kevin, Susobhanan, Abhimanyu, Swiggum, Joseph K., Taylor, Stephen R., Turner, Jacob E., Unal, Caner, Vallisneri, Michele, Vigeland, Sarah J., Wahl, Haley M., Witt, Caitlin A., Wright, David, Young, Olivia
Pulsar-timing-array experiments have reported evidence for a stochastic background of nanohertz gravitational waves consistent with the signal expected from a population of supermassive--black-hole binaries. Those analyses assume power-law spectra fo
Externí odkaz:
http://arxiv.org/abs/2407.20510
Traditional pulsar timing techniques involve averaging large numbers of single pulses to obtain a high signal-to-noise (S/N) profile, which is matched to a template to measure a time of arrival (TOA). However, the morphology of individual single puls
Externí odkaz:
http://arxiv.org/abs/2407.19615
Autor:
Ferrer, Miguel A., Calduch-Giner, Josep A., Díaz, Moises, Sosa, Javier, Rosell-Moll, Enrique, Abril, Judith Santana, Sosa, Graciela Santana, Delgado, Tomás Bautista, Carmona, Cristina, Martos-Sitcha, Juan Antonio, Cabruja, Enric, Afonso, Juan Manuel, Vega, Aurelio, Lozano, Manuel, Montiel-Nelson, Juan Antonio, Pérez-Sánchez, Jaume
Publikováno v:
Computers and Electronics in Agriculture, col.175,pp.105531,2020
The AEFishBIT tri-axial accelerometer was externally attached to the operculum to assess the divergent activity and respiratory patterns of two marine farmed fish, the gilthead sea bream (Sparus aurata) and European sea bass (Dicentrarchus labrax). A
Externí odkaz:
http://arxiv.org/abs/2406.03859
The ability to summarize and organize knowledge into abstract concepts is key to learning and reasoning. Many industrial applications rely on the consistent and systematic use of concepts, especially when dealing with decision-critical knowledge. How
Externí odkaz:
http://arxiv.org/abs/2405.20163