Efficient probabilistic forecasts for counts von McCabe, Brendan P. M., Martin, Gael M., Harris, David

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Approximate Bayesian forecasting von Frazier, David T., Maneesoonthorn, Worapree, Martin, Gael M., McCabe, Brendan P.M.

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Non-parametric estimation of forecast distributions in non-Gaussian, non-linear state space models von Ng, Jason, Forbes, Catherine S., Martin, Gael M., McCabe, Brendan P.M.

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Distributions you can count on ...but what's the point? von McCabe, Brendan Peter Martin, Skeels, Christopher L

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The Power of Some Tests for Difference Stationarity under Local Heteroscedastic Integration von McCabe, Brendan P. M., Smith, Richard J.

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Randomized unit root processes for modelling and forecasting financial time series: Theory and applications von Leybourne, Stephen J., McCabe, Brendan P. M., Mills, Terence C.

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A QUASI-LOCALLY MOST POWERFUL TEST FOR CORRELATION IN THE CONDITIONAL VARIANCE OF POSITIVE DATA von McCabe, Brendan P. M., Martin, Gael M., Freeland, Keith

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Approximate Bayesian Forecasting von Frazier, David T, Maneesoonthorn, Worapree, Martin, Gael M, McCabe, Brendan P. M

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Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models von Martin, Gael M, McCabe, Brendan P. M, Frazier, David T, Maneesoonthorn, Worapree, Robert, Christian P

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Auxiliary Likelihood-Based Approximate Bayesian Computation in State Space Models von Martin, Gael M, McCabe, Brendan P M, Frazier, David T, Maneesoonthorn, Worapree, Robert, Christian P

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Approximate Bayesian Computation in State Space Models von Martin, Gael M, McCabe, Brendan P. M, Maneesoonthorn, Worapree, Robert, Christian P

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Approximate Bayesian Forecasting von Frazier, David T, Maneesoonthorn, Worapree, Martin, Gael M, McCabe, Brendan P M

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Approximate Bayesian Computation in State Space Models von Martin, Gael M, McCabe, Brendan P M, Maneesoonthorn, Worapree, Robert, Christian P

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Multiple sclerosis genomic map implicates peripheral immune cells and microglia in susceptibility von Patsopoulos, Nikolaos A., Baranzini, Sergio E., Santaniello, Adam, Shoostari, Parisa, Cotsapas, Chris, Wong, Garrett, Beecham, Ashley H., James, Tojo, Replogle, Joseph, Vlachos, Ioannis S., McCabe, Cristin, Pers, Tune H., Brandes, Aaron, White, Charles, Keenan, Brendan, Cimpean, Maria, Winn, Phoebe, Panteliadis, Ioannis-Pavlos, Robbins, Allison, Andlauer, Till F. M., Zarzycki, Onigiusz, Dubois, Bénédicte, Goris, An, Søndergaard, Helle Bach, Sellebjerg, Finn, Sorensen, Per Soelberg, Ullum, Henrik, Thørner, Lise Wegner, Saarela, Janna, Cournu-Rebeix, Isabelle, Damotte, Vincent, Fontaine, Bertrand, Guillot-Noel, Lena, Lathrop, Mark, Vukusic, Sandra, Berthele, Achim, Pongratz, Viola, Buck, Dorothea, Gasperi, Christiane, Graetz, Christiane, Grummel, Verena, Hemmer, Bernhard, Hoshi, Muni, Knier, Benjamin, Korn, Thomas, Lill, Christina M., Luessi, Felix, Mühlau, Mark, Zipp, Frauke, Dardiotis, Efthimios, Agliardi, Cristina, Amoroso, Antonio, Barizzone, Nadia, Benedetti, Maria D., Bernardinelli, Luisa, Cavalla, Paola, Clarelli, Ferdinando, Comi, Giancarlo, Cusi, Daniele, Esposito, Federica, Ferrè, Laura, Galimberti, Daniela, Guaschino, Clara, Leone, Maurizio A., Martinelli, Vittorio, Moiola, Lucia, Salvetti, Marco, Sorosina, Melissa, Vecchio, Domizia, Zauli, Andrea, Santoro, Silvia, Mancini, Nicasio, Zuccalà, Miriam, Mescheriakova, Julia, van Duijn, Cornelia, Bos, Steffan D., Celius, Elisabeth G., Spurkland, Anne, Comabella, Manuel, Montalban, Xavier, Alfredsson, Lars, Bomfim, Izaura L., Gomez-Cabrero, David, Hillert, Jan, Jagodic, Maja, Lindén, Magdalena, Piehl, Fredrik, Jelčić, Ilijas, Martin, Roland, Sospedra, Mirela, Baker, Amie, Ban, Maria, Hawkins, Clive, Hysi, Pirro, Kalra, Seema, Karpe, Fredrik, Khadake, Jyoti, Lachance, Genevieve, Molyneux, Paul, Neville, Matthew

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Pelagic calcifiers face increased mortality and habitat loss with warming and ocean acidification von Bednaršek, Nina, Carter, Brendan R., McCabe, Ryan M., Feely, Richard A., Howard, Evan, Chavez, Francisco P., Elliott, Meredith, Fisher, Jennifer L., Jahncke, Jaime, Siegrist, Zach

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Forecasting discrete valued low count time series von Freeland, R.K., McCabe, B.P.M.

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Analysis of low count time series data by poisson autoregression von Freeland, R. K., McCabe, B. P. M.

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Bayesian predictions of low count time series von McCabe, B.P.M., Martin, G.M.

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Modified Stationarity Tests With Data-Dependent Model-Selection Rules von Leybourne, S. J., HcCabe, B. P. M.

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Assessing Persistence In Discrete Nonstationary Time-Series Models von McCabe, B. P. M., Martin, G. M., Tremayne, A. R.

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